{
  "results": [
    {
      "id": "ef8e52a77afaab984fd3d4f82373ca34",
      "title": "Internship Bioengineering / Molecular Biology",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "internship",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/b2c0c8b3-55fd-49e2-9c2d-4bc5e58ac414",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8963f9e7bcf2228ad8",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ef8e52a77afaab984fd3d4f82373ca34",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:ef8e52a77afaab984fd3d4f82373ca34:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.96951e8ad27fed06c8",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ef8e52a77afaab984fd3d4f82373ca34",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:ef8e52a77afaab984fd3d4f82373ca34:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.247b460226fce6913d",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ef8e52a77afaab984fd3d4f82373ca34",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3fa4fab88df015bb4c5957f4",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0ad2ed78738441d650",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ef8e52a77afaab984fd3d4f82373ca34",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.53fff5fc713e94c3f3",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ef8e52a77afaab984fd3d4f82373ca34",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "34082d5d7ebfa982b8ff87232a342e21",
      "title": "Business Operations (Intern / Working Student)",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "internship",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/3cd49da0-748c-4771-a133-bd67f26d55aa",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5191827067c2b8f088",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "34082d5d7ebfa982b8ff87232a342e21",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:34082d5d7ebfa982b8ff87232a342e21:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8c49b7c38dff55528b",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "34082d5d7ebfa982b8ff87232a342e21",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:34082d5d7ebfa982b8ff87232a342e21:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.dd26e06f204a621952",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "34082d5d7ebfa982b8ff87232a342e21",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:35d799156892062be296fd6f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0c89ec27f4988b5c22",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "34082d5d7ebfa982b8ff87232a342e21",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bb7c71ae77529a3ced",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "34082d5d7ebfa982b8ff87232a342e21",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "365e7875b9903e7147bc01a8157429ef",
      "title": "Forward Deployed Engineer",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne / Hybrid / Remote | Hybrid | Remote",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/3377f1b8-10b8-45c3-b03c-1c065b4f8608",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5d28caca1c0bbfe5e5",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "365e7875b9903e7147bc01a8157429ef",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:365e7875b9903e7147bc01a8157429ef:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a684eb5b077b928038",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "365e7875b9903e7147bc01a8157429ef",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:365e7875b9903e7147bc01a8157429ef:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.6027a74e1635b3f930",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "365e7875b9903e7147bc01a8157429ef",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:55bf6bfa1fa18777e712e72a",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4bb7758a2c5b0f21e7",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "365e7875b9903e7147bc01a8157429ef",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ead830c3333034a8ff",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "365e7875b9903e7147bc01a8157429ef",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1bf38f1a3b943a5e09e638cd920c78f7",
      "title": "Software Engineer, Product",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne / Hybrid / Remote | Hybrid | Remote",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/34e28741-b3fc-4536-b666-1e690c8f33f5",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3c8ac7c18a57fbd448",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1bf38f1a3b943a5e09e638cd920c78f7",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:1bf38f1a3b943a5e09e638cd920c78f7:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8c9cc08ce6b865392a",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1bf38f1a3b943a5e09e638cd920c78f7",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:1bf38f1a3b943a5e09e638cd920c78f7:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.4fc108d1a4208436b8",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1bf38f1a3b943a5e09e638cd920c78f7",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fe7742e3e6981d026d6b6107",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bc9e896ce5d1ef2bcd",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1bf38f1a3b943a5e09e638cd920c78f7",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e7e3fc69eba665d9cf",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1bf38f1a3b943a5e09e638cd920c78f7",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a72c10f68d800c0b8b1639f1bc9e5f87",
      "title": "HW Engineer",
      "employer_name": "ThousandEyes",
      "employer_slug": "thousandeyes",
      "location_text": "San Jose, California, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-26T00:00:00.000Z",
      "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/San-Jose-California-US/Lab-HW-Engineer_2009057/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "HW Engineer San Jose, California, United States of America Join our team as a Hardware Lab Manager, where you'll lead the operation of a world-class hardware lab supporting cutting-edge ASIC development. Collaborate with top engineers and drive continuous improvement in lab processes while ensuring readiness for critical milestones. Your expertise will shape the future of Cisco's innovative network devices.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b5472df8e6803402cf",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "a72c10f68d800c0b8b1639f1bc9e5f87",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "HW Engineer San Jose, California, United States of America Join our team as a Hardware Lab Manager, where you'll lead the operation of a world-class hardware lab supporting cutting-edge ASIC development. Collaborate with top engineers and drive continuous improvement in lab processes while ensuring readiness for critical milestones. Your expertise will shape the future of Cisco's innovative network devices.",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:a72c10f68d800c0b8b1639f1bc9e5f87:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.05d20d850f79ebd858",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "a72c10f68d800c0b8b1639f1bc9e5f87",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "HW Engineer San Jose, California, United States of America Join our team as a Hardware Lab Manager, where you'll lead the operation of a world-class hardware lab supporting cutting-edge ASIC development. Collaborate with top engineers and drive continuous improvement in lab processes while ensuring readiness for critical milestones. Your expertise will shape the future of Cisco's innovative network devices.",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:38cdd436e3ac290bb3dba186",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f44588199313e684bc",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "a72c10f68d800c0b8b1639f1bc9e5f87",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "HW Engineer San Jose, California, United States of America Join our team as a Hardware Lab Manager, where you'll lead the operation of a world-class hardware lab supporting cutting-edge ASIC development. Collaborate with top engineers and drive continuous improvement in lab processes while ensuring readiness for critical milestones. Your expertise will shape the future of Cisco's innovative network devices.",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6c582c39c5c227a9bd0dda401490f0d6",
      "title": "Senior Full Stack Developer (JavaScript, TypeScript)",
      "employer_name": "SAP",
      "employer_slug": "sap",
      "location_text": "Country Vietnam | Internal Posting Location Ho Chi Minh",
      "country": "VN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.sap.com/job/Ho-Chi-Minh-Senior-Full-Stack-Developer-%28JavaScript%2C-TypeScript%29-700000/1398294233/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": "Technology",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.27be6432a39a61c204",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "6c582c39c5c227a9bd0dda401490f0d6",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:6c582c39c5c227a9bd0dda401490f0d6:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ee0b09a6e7e1054ca0",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "6c582c39c5c227a9bd0dda401490f0d6",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:6c582c39c5c227a9bd0dda401490f0d6:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.4491aae38bd245d0fc",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "6c582c39c5c227a9bd0dda401490f0d6",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
          "matched_input": "world labs",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9d8eb8156ac429c576e166fe",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.750a560a1b7901d401",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "6c582c39c5c227a9bd0dda401490f0d6",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e87e5aef589f8b256d",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "6c582c39c5c227a9bd0dda401490f0d6",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Developer (JavaScript, TypeScript) Country Vietnam | Internal Posting Location Ho Chi Minh We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About SAP Labs Network and SAP Labs Vietnam SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP's customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP What you'll do Ready to lead the UX revolution? As a Senior Developer, you'll architect the next generation of enterprise user experiences while building and leading a world-class team in Ho Chi Minh City. You'll ensure customers, partners, and users get the benefits of a consistent, innovative user experience across all their touchpoints with the SAP ecosystem, while taking technical leadership in one of Asia's most dynamic tech markets. Roles s Responsibilities Technical Architecture and Leadership: Design and build scalable systems that serve millions",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "af7b6a143c6af17b2c29b25c490e0f67",
      "title": "GC/MS Scientist",
      "employer_name": "JUUL Labs",
      "employer_slug": "juul-labs",
      "location_text": "Durham, North Carolina, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 108000,
      "salary_max": 132000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 108000,
      "base_salary_max": 132000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-04-07T11:02:24.000Z",
      "apply_url": "https://job-boards.greenhouse.io/juullabs/jobs/7782616",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "GC/MS Scientist Durham, North Carolina, United States THE COMPANY: Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. ROLE AND RESPONSIBILITIES: Reporting to the GC/MS Group Lead, the candidate will support the Chemistry and Regulatory Testing and regulatory submission for JUUL Labs. The GC/MS Scientist is a hands-on, laboratory-based role in Durham, NC that will be responsible in helping to test products for regulatory submissions at Juul Labs. The scientist is highly motivated, nimble at navigating complex challenges, a skilled multitasker, is adaptable and works effectively in a fast-paced environment and works collaboratively with the teams at Juul Labs. - Perform routine and non-routine analysis on nicotine containing products by GC/MS or GC/MS/MS. - Support method development and validation of test methods using GC/MS or GC/MS/MS. - Perform routine maintenance on analytical instrumentation. - Review and report data generated by GC/MS or GC/MS/MS. - Write and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c0eadd80f1bf25c196",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "af7b6a143c6af17b2c29b25c490e0f67",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "GC/MS Scientist Durham, North Carolina, United States THE COMPANY: Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. ROLE AND RESPONSIBILITIES: Reporting to the GC/MS Group Lead, the candidate will support the Chemistry and Regulatory Testing and regulatory submission for JUUL Labs. The GC/MS Scientist is a hands-on, laboratory-based role in Durham, NC that will be responsible in helping to test products for regulatory submissions at Juul Labs. The scientist is highly motivated, nimble at navigating complex challenges, a skilled multitasker, is adaptable and works effectively in a fast-paced environment and works collaboratively with the teams at Juul Labs. - Perform routine and non-routine analysis on nicotine containing products by GC/MS or GC/MS/MS. - Support method development and validation of test methods using GC/MS or GC/MS/MS. - Perform routine maintenance on analytical instrumentation. - Review and report data generated by GC/MS or GC/MS/MS. - Write and",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:af7b6a143c6af17b2c29b25c490e0f67:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e1c2a8f1d6ea96abe7",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "af7b6a143c6af17b2c29b25c490e0f67",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "GC/MS Scientist Durham, North Carolina, United States THE COMPANY: Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. ROLE AND RESPONSIBILITIES: Reporting to the GC/MS Group Lead, the candidate will support the Chemistry and Regulatory Testing and regulatory submission for JUUL Labs. The GC/MS Scientist is a hands-on, laboratory-based role in Durham, NC that will be responsible in helping to test products for regulatory submissions at Juul Labs. The scientist is highly motivated, nimble at navigating complex challenges, a skilled multitasker, is adaptable and works effectively in a fast-paced environment and works collaboratively with the teams at Juul Labs. - Perform routine and non-routine analysis on nicotine containing products by GC/MS or GC/MS/MS. - Support method development and validation of test methods using GC/MS or GC/MS/MS. - Perform routine maintenance on analytical instrumentation. - Review and report data generated by GC/MS or GC/MS/MS. - Write and",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:af7b6a143c6af17b2c29b25c490e0f67:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3c65b093dc4101897e",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "af7b6a143c6af17b2c29b25c490e0f67",
          "signal_type": "query_match",
          "display_text": "Employer: \"labs\"",
          "tooltip": "Employer matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "JUUL Labs",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:af7b6a143c6af17b2c29b25c490e0f67:employer:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6e4880d5ebce4691b1",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "af7b6a143c6af17b2c29b25c490e0f67",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "GC/MS Scientist Durham, North Carolina, United States THE COMPANY: Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. ROLE AND RESPONSIBILITIES: Reporting to the GC/MS Group Lead, the candidate will support the Chemistry and Regulatory Testing and regulatory submission for JUUL Labs. The GC/MS Scientist is a hands-on, laboratory-based role in Durham, NC that will be responsible in helping to test products for regulatory submissions at Juul Labs. The scientist is highly motivated, nimble at navigating complex challenges, a skilled multitasker, is adaptable and works effectively in a fast-paced environment and works collaboratively with the teams at Juul Labs. - Perform routine and non-routine analysis on nicotine containing products by GC/MS or GC/MS/MS. - Support method development and validation of test methods using GC/MS or GC/MS/MS. - Perform routine maintenance on analytical instrumentation. - Review and report data generated by GC/MS or GC/MS/MS. - Write and",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6f30063c0698f237b0",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "af7b6a143c6af17b2c29b25c490e0f67",
          "signal_type": "query_match",
          "display_text": "Employer: \"labs\"",
          "tooltip": "Employer contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "JUUL Labs",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "307e0dbe1348f697cd2628352ca5b49d",
      "title": "Lab Technician",
      "employer_name": "Pratt & Whitney",
      "employer_slug": "pratt-whitney",
      "location_text": "singapore, Central Singapore, Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-12T16:23:00.880Z",
      "apply_url": "https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/SG-01-SINGAPORE-005-B1--5-Tuas-Dr-2--5-TUAS-DR-2-005-B1/Lab-Technician_01813605-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lab Technician singapore, Central Singapore, Singapore Date Posted. Country. SingaporeLocation. SG-01-SINGAPORE-005 B1 ~ 5 Tuas Dr 2 ~ 5 TUAS DR 2-005 B1Position Role Type. Unspecified. Pratt & Whitney, an RTX business, is a world leader in the design, ma...",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d95ff5c6223d6af0d6",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "307e0dbe1348f697cd2628352ca5b49d",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Technician singapore, Central Singapore, Singapore Date Posted. Country. SingaporeLocation. SG-01-SINGAPORE-005 B1 ~ 5 Tuas Dr 2 ~ 5 TUAS DR 2-005 B1Position Role Type. Unspecified. Pratt & Whitney, an RTX business, is a world leader in the design, ma...",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:307e0dbe1348f697cd2628352ca5b49d:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.93107a1f998f41010b",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "307e0dbe1348f697cd2628352ca5b49d",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Lab Technician singapore, Central Singapore, Singapore Date Posted. Country. SingaporeLocation. SG-01-SINGAPORE-005 B1 ~ 5 Tuas Dr 2 ~ 5 TUAS DR 2-005 B1Position Role Type. Unspecified. Pratt & Whitney, an RTX business, is a world leader in the design, ma...",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c2aa1fc421acf16374f9b4d6af5dc453",
      "title": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Austin, Texas, USA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 139300,
      "salary_max": 208000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 139300,
      "base_salary_max": 208000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-21T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10427129/lab-infrastructure-and-operations-manager-annapurna-labs-silicon",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon Austin, Texas, USA Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform - and at the heart of it is custom silicon. Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, designs the custom chips (Graviton, Trainium, Inferentia, Nitro) that power millions of customers worldwide. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to solve technical challenges no one has tackled before. We are seeking a Sr. Technical Manager to lead a team of networking development engineers, data center operations technicians, and facility engineers responsible for designing, building, operating, and scaling the critical lab and data center infrastructure that accelerates silicon development and validation. You will own the strategy, design, construction, and ongoing operations of lab environments spanning hundreds of rack positions, megawatts of power capacity, and specialized testing environments including thermal chambers, liquid cooling systems, and high-density compute clusters. This is a hands-on technical leadership role. You'll drive the physical infrastructure buildout - power distribution, cooling architecture, structured cabling, network fabric design, and environmental monitoring - while simultaneously managing the operational excellence of a live, production-class lab environment. You'll operate in ambiguous spaces where the problems aren't pre-defined, defining goals, building teams, establishing processes, and influencing stakeholders across hardware, software, facilities, and infrastructure organizations to deliver results that directly impact AWS's ability to ship custom silicon faster. Key job responsibilities Data Center &",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "operations",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3d212c4e6e7336df4c",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "c2aa1fc421acf16374f9b4d6af5dc453",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon Austin, Texas, USA Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform - and at the heart of it is custom silicon. Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, designs the custom chips (Graviton, Trainium, Inferentia, Nitro) that power millions of customers worldwide. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to solve technical challenges no one has tackled before. We are seeking a Sr. Technical Manager to lead a team of networking development engineers, data center operations technicians, and facility engineers responsible for designing, building, operating, and scaling the critical lab and data center infrastructure that accelerates silicon development and validation. You will own the strategy, design, construction, and ongoing operations of lab environments spanning hundreds of rack positions, megawatts of power capacity, and specialized testing environments including thermal chambers, liquid cooling systems, and high-density compute clusters. This is a hands-on technical leadership role. You'll drive the physical infrastructure buildout - power distribution, cooling architecture, structured cabling, network fabric design, and environmental monitoring - while simultaneously managing the operational excellence of a live, production-class lab environment. You'll operate in ambiguous spaces where the problems aren't pre-defined, defining goals, building teams, establishing processes, and influencing stakeholders across hardware, software, facilities, and infrastructure organizations to deliver results that directly impact AWS's ability to ship custom silicon faster. Key job responsibilities Data Center &",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:c2aa1fc421acf16374f9b4d6af5dc453:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.520985f186485121c7",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "c2aa1fc421acf16374f9b4d6af5dc453",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon Austin, Texas, USA Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform - and at the heart of it is custom silicon. Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, designs the custom chips (Graviton, Trainium, Inferentia, Nitro) that power millions of customers worldwide. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to solve technical challenges no one has tackled before. We are seeking a Sr. Technical Manager to lead a team of networking development engineers, data center operations technicians, and facility engineers responsible for designing, building, operating, and scaling the critical lab and data center infrastructure that accelerates silicon development and validation. You will own the strategy, design, construction, and ongoing operations of lab environments spanning hundreds of rack positions, megawatts of power capacity, and specialized testing environments including thermal chambers, liquid cooling systems, and high-density compute clusters. This is a hands-on technical leadership role. You'll drive the physical infrastructure buildout - power distribution, cooling architecture, structured cabling, network fabric design, and environmental monitoring - while simultaneously managing the operational excellence of a live, production-class lab environment. You'll operate in ambiguous spaces where the problems aren't pre-defined, defining goals, building teams, establishing processes, and influencing stakeholders across hardware, software, facilities, and infrastructure organizations to deliver results that directly impact AWS's ability to ship custom silicon faster. Key job responsibilities Data Center &",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:c2aa1fc421acf16374f9b4d6af5dc453:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0afedbf799f0d3a3d7",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "c2aa1fc421acf16374f9b4d6af5dc453",
          "signal_type": "query_match",
          "display_text": "Title: \"labs\"",
          "tooltip": "Title matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:c2aa1fc421acf16374f9b4d6af5dc453:title:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8ff65bddacd770a1cc",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "c2aa1fc421acf16374f9b4d6af5dc453",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon Austin, Texas, USA Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform - and at the heart of it is custom silicon. Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, designs the custom chips (Graviton, Trainium, Inferentia, Nitro) that power millions of customers worldwide. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to solve technical challenges no one has tackled before. We are seeking a Sr. Technical Manager to lead a team of networking development engineers, data center operations technicians, and facility engineers responsible for designing, building, operating, and scaling the critical lab and data center infrastructure that accelerates silicon development and validation. You will own the strategy, design, construction, and ongoing operations of lab environments spanning hundreds of rack positions, megawatts of power capacity, and specialized testing environments including thermal chambers, liquid cooling systems, and high-density compute clusters. This is a hands-on technical leadership role. You'll drive the physical infrastructure buildout - power distribution, cooling architecture, structured cabling, network fabric design, and environmental monitoring - while simultaneously managing the operational excellence of a live, production-class lab environment. You'll operate in ambiguous spaces where the problems aren't pre-defined, defining goals, building teams, establishing processes, and influencing stakeholders across hardware, software, facilities, and infrastructure organizations to deliver results that directly impact AWS's ability to ship custom silicon faster. Key job responsibilities Data Center &",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f7477245f13e8e423e",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "c2aa1fc421acf16374f9b4d6af5dc453",
          "signal_type": "query_match",
          "display_text": "Title: \"labs\"",
          "tooltip": "Title contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lab Infrastructure and Operations Manager, Annapurna Labs Silicon",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0f2be4ab3a6b1ad5a061187a5740501c",
      "title": "Research Associate - Thin Films (Fixed Term)",
      "employer_name": "Periodic Labs",
      "employer_slug": "periodic-labs",
      "location_text": "Menlo Park, California, United States",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 100000,
      "salary_max": 140000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 100000,
      "base_salary_max": 140000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn",
        "a16z"
      ],
      "posted_at": "2026-03-10T17:21:15.414Z",
      "apply_url": "https://jobs.ashbyhq.com/periodic-labs/98837207-657f-4116-a112-d8dc6184b49e",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Associate - Thin Films (Fixed Term) Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physical R&D in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is the gap between bulk materials discovery and thin-film form: materials our AI predicts and our powder lab synthesizes must ultimately be validated as scalable thin films to be relevant to semiconductor, memory, and advanced materials applications. We are building a dedicated thin-film lab (PVD, PLD, plasma ALD) with construction beginning in May 2026, while actively generating early data at partner facilities including Stanford Nanofab and other user facilities in the Bay Area. We are seeking a hands-on Research Associate in Thin Films to execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with our AI and materials teams. This is a 12-month fixed-term position with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1b15ca4d5c11d84a77",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "0f2be4ab3a6b1ad5a061187a5740501c",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Associate - Thin Films (Fixed Term) Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physical R&D in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is the gap between bulk materials discovery and thin-film form: materials our AI predicts and our powder lab synthesizes must ultimately be validated as scalable thin films to be relevant to semiconductor, memory, and advanced materials applications. We are building a dedicated thin-film lab (PVD, PLD, plasma ALD) with construction beginning in May 2026, while actively generating early data at partner facilities including Stanford Nanofab and other user facilities in the Bay Area. We are seeking a hands-on Research Associate in Thin Films to execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with our AI and materials teams. This is a 12-month fixed-term position with",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:0f2be4ab3a6b1ad5a061187a5740501c:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f40c5d8cf470ab42c1",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "0f2be4ab3a6b1ad5a061187a5740501c",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Associate - Thin Films (Fixed Term) Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physical R&D in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is the gap between bulk materials discovery and thin-film form: materials our AI predicts and our powder lab synthesizes must ultimately be validated as scalable thin films to be relevant to semiconductor, memory, and advanced materials applications. We are building a dedicated thin-film lab (PVD, PLD, plasma ALD) with construction beginning in May 2026, while actively generating early data at partner facilities including Stanford Nanofab and other user facilities in the Bay Area. We are seeking a hands-on Research Associate in Thin Films to execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with our AI and materials teams. This is a 12-month fixed-term position with",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:0f2be4ab3a6b1ad5a061187a5740501c:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1b27beef49e4fbd3a0",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "0f2be4ab3a6b1ad5a061187a5740501c",
          "signal_type": "query_match",
          "display_text": "Employer: \"labs\"",
          "tooltip": "Employer matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Periodic Labs",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:0f2be4ab3a6b1ad5a061187a5740501c:employer:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd332f867fcdaf6044",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "0f2be4ab3a6b1ad5a061187a5740501c",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Research Associate - Thin Films (Fixed Term) Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physical R&D in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is the gap between bulk materials discovery and thin-film form: materials our AI predicts and our powder lab synthesizes must ultimately be validated as scalable thin films to be relevant to semiconductor, memory, and advanced materials applications. We are building a dedicated thin-film lab (PVD, PLD, plasma ALD) with construction beginning in May 2026, while actively generating early data at partner facilities including Stanford Nanofab and other user facilities in the Bay Area. We are seeking a hands-on Research Associate in Thin Films to execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with our AI and materials teams. This is a 12-month fixed-term position with",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b6ec242b600e676731",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "0f2be4ab3a6b1ad5a061187a5740501c",
          "signal_type": "query_match",
          "display_text": "Employer: \"labs\"",
          "tooltip": "Employer contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Periodic Labs",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "598edf2da4643d6ed7b25106604e1069",
      "title": "Software Engineer, Backend",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne / Hybrid / Remote | Hybrid | Remote",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/d3475c06-3180-4d89-8ecf-8b889cff92bb",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.008bc35462df2f0b41",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "598edf2da4643d6ed7b25106604e1069",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:598edf2da4643d6ed7b25106604e1069:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.872424443996e98efb",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "598edf2da4643d6ed7b25106604e1069",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:598edf2da4643d6ed7b25106604e1069:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0b9193e1637a12206d",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "598edf2da4643d6ed7b25106604e1069",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ff80457ec2984c2da5",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "598edf2da4643d6ed7b25106604e1069",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7fb2f2a1abb4506a759995ba3381aa76",
      "title": "Senior Territory Manager, San Diego",
      "employer_name": "Quartzy",
      "employer_slug": "quartzy",
      "location_text": "San Diego, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-07T17:58:24.000Z",
      "apply_url": "https://jobs.lever.co/quartzy/435e4af0-c92a-4af0-90ed-96d6e23579dc",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Territory Manager, San Diego San Diego, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Southern California book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in San Diego and requires regular in-person meetings across biotech hubs including travel to the Los Angeles metro-area. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide. By combining SaaS",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0fa1b48bd8ea499dc4",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "7fb2f2a1abb4506a759995ba3381aa76",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, San Diego San Diego, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Southern California book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in San Diego and requires regular in-person meetings across biotech hubs including travel to the Los Angeles metro-area. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide. By combining SaaS",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:7fb2f2a1abb4506a759995ba3381aa76:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.60850ee18c741d7a19",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "7fb2f2a1abb4506a759995ba3381aa76",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, San Diego San Diego, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Southern California book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in San Diego and requires regular in-person meetings across biotech hubs including travel to the Los Angeles metro-area. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide. By combining SaaS",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:7fb2f2a1abb4506a759995ba3381aa76:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0b425a34acce5b75fe",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "7fb2f2a1abb4506a759995ba3381aa76",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, San Diego San Diego, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Southern California book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in San Diego and requires regular in-person meetings across biotech hubs including travel to the Los Angeles metro-area. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide. By combining SaaS",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d054f29e0a0f2f0d23",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "7fb2f2a1abb4506a759995ba3381aa76",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, San Diego San Diego, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Southern California book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in San Diego and requires regular in-person meetings across biotech hubs including travel to the Los Angeles metro-area. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide. By combining SaaS",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8bdaf9fe90d03a05fca5a2a705a962cb",
      "title": "Intern, Protein Design",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne / Hybrid / Remote | Hybrid | Remote",
      "country": "CH",
      "employment_type": "internship",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/0b758124-722a-4557-b16b-5ad38e6b7986",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "design",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.50742bf415308d7dab",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "8bdaf9fe90d03a05fca5a2a705a962cb",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:8bdaf9fe90d03a05fca5a2a705a962cb:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.af6efd00f54df80bfb",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "8bdaf9fe90d03a05fca5a2a705a962cb",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:8bdaf9fe90d03a05fca5a2a705a962cb:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a5551a4ebba4f1c0df",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "8bdaf9fe90d03a05fca5a2a705a962cb",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f105e6a2a69c3a892e",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "8bdaf9fe90d03a05fca5a2a705a962cb",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ccfd5380564fb5b4587c7eb4e9a1e0cd",
      "title": "Senior Territory Manager, NYC or Northern NJ",
      "employer_name": "Quartzy",
      "employer_slug": "quartzy",
      "location_text": "New York, NY",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-07T17:58:24.000Z",
      "apply_url": "https://jobs.lever.co/quartzy/11365183-e89b-42eb-9f57-515236cc1f28",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Territory Manager, NYC or Northern NJ New York, NY Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined New York City/Northern New Jersey book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in Northern New Jersey or the NYC area and requires regular in-person meetings across biotech hubs across the territory, including Philadelphia. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2c2aacd6fd3f54dd41",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ccfd5380564fb5b4587c7eb4e9a1e0cd",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, NYC or Northern NJ New York, NY Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined New York City/Northern New Jersey book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in Northern New Jersey or the NYC area and requires regular in-person meetings across biotech hubs across the territory, including Philadelphia. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:ccfd5380564fb5b4587c7eb4e9a1e0cd:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.da1b24d083cf40d806",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ccfd5380564fb5b4587c7eb4e9a1e0cd",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, NYC or Northern NJ New York, NY Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined New York City/Northern New Jersey book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in Northern New Jersey or the NYC area and requires regular in-person meetings across biotech hubs across the territory, including Philadelphia. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:ccfd5380564fb5b4587c7eb4e9a1e0cd:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.61441cf5acf306dcb6",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ccfd5380564fb5b4587c7eb4e9a1e0cd",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, NYC or Northern NJ New York, NY Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined New York City/Northern New Jersey book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in Northern New Jersey or the NYC area and requires regular in-person meetings across biotech hubs across the territory, including Philadelphia. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.959af07a0678995918",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "ccfd5380564fb5b4587c7eb4e9a1e0cd",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, NYC or Northern NJ New York, NY Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined New York City/Northern New Jersey book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in Northern New Jersey or the NYC area and requires regular in-person meetings across biotech hubs across the territory, including Philadelphia. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cf74e8c353670fca7f41dc6491e9991f",
      "title": "Senior Territory Manager, Bay Area",
      "employer_name": "Quartzy",
      "employer_slug": "quartzy",
      "location_text": "San Francisco, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-07T17:58:24.000Z",
      "apply_url": "https://jobs.lever.co/quartzy/3b82e70f-fd49-4c30-9167-5e27f161bffd",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Territory Manager, Bay Area San Francisco, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Bay Area book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in the Bay Area and requires regular in-person meetings across biotech hubs including South SF, Mission Bay, Palo Alto, and Emeryville. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a4cd1372d5eeb3e781",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf74e8c353670fca7f41dc6491e9991f",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, Bay Area San Francisco, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Bay Area book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in the Bay Area and requires regular in-person meetings across biotech hubs including South SF, Mission Bay, Palo Alto, and Emeryville. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide.",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:cf74e8c353670fca7f41dc6491e9991f:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c43a3452229e2369ca",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf74e8c353670fca7f41dc6491e9991f",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, Bay Area San Francisco, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Bay Area book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in the Bay Area and requires regular in-person meetings across biotech hubs including South SF, Mission Bay, Palo Alto, and Emeryville. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide.",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:cf74e8c353670fca7f41dc6491e9991f:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d054558cfe3267cab7",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf74e8c353670fca7f41dc6491e9991f",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, Bay Area San Francisco, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Bay Area book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in the Bay Area and requires regular in-person meetings across biotech hubs including South SF, Mission Bay, Palo Alto, and Emeryville. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide.",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f11482965466a25b7e",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf74e8c353670fca7f41dc6491e9991f",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Territory Manager, Bay Area San Francisco, CA Quartzy is hiring a Senior Territory Manager to own gross profit dollar growth across a defined Bay Area book of business. You will acquire new SaaS customers, expand revenue within our existing accounts in the region, and drive e-commerce adoption across every logo in your territory. This is a full-cycle role: hunt net-new logos, deepen relationships in existing accounts, and influence scientists and procurement teams to buy more through Quartzy. This role is based in the Bay Area and requires regular in-person meetings across biotech hubs including South SF, Mission Bay, Palo Alto, and Emeryville. About You You're a proactive, field-oriented commercial rep who understands how scientists buy supplies and how labs operate day to day. You can prospect into new labs, run structured sales cycles, and then expand those accounts post-close. You are credible with scientists, lab managers, procurement, and finance teams, and you enjoy being inside labs to understand real workflows and buying patterns. You are excited to learn SaaS sales and want to broaden your skill set. If you want material impact on a profitable, scaling business, this is the role. Why Quartzy At Quartzy, we believe science moves faster when labs spend less time on logistics and more time on discovery. Our platform streamlines how labs order, track, and manage supplies so researchers can focus on scientific breakthroughs that change the world. Quartzy is the world's #1 lab management platform, trusted by hundreds of thousands of scientists worldwide.",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "82544808d0a0b524282b2afd4d1e11a0",
      "title": "Innovation Lab Manager, RDPI - Global Engineering",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Westboro, Wisconsin, USA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 99400,
      "salary_max": 160000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 99400,
      "base_salary_max": 160000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-29T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10406863/innovation-lab-manager-rdpi-global-engineering",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b14ee185cfb3e1c3cc",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "82544808d0a0b524282b2afd4d1e11a0",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:82544808d0a0b524282b2afd4d1e11a0:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c15523ecf68d1d4dc1",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "82544808d0a0b524282b2afd4d1e11a0",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Innovation Lab Manager, RDPI - Global Engineering Westboro, Wisconsin, USA The RDPI (Robotics Deployment & Packaging Innovation) Global Engineering team is seeking a talented and highly organized Lab Manager to contribute to delivering transformational innovation to the business. You will be part of a dynamic team of engineers with the mission to ensure that robotics technologies maturing through the development pipeline are vetted and tested to identify and resolve issues upstream before large-scale deployment and operation. You will manage the infrastructure and operations for the key innovation lab(s) that designers, engineers, and scientists rely on to invent, prototype, test, and perform experiments on the next generation automation technologies for Amazon fulfillment. You will take end-to-end ownership of these lab facilities to transform them into high-performing centers of excellence. If you are passionate about pioneering new technologies for the real world, innovating, and experimenting to enable delivery of automation systems at scale, we want to talk to you. Key job responsibilities - Manage day-to-day operations of the lab space, including lab user management, shipping & receiving (ranging from single packages to trailer loads), lab cleanliness standards and upkeep, accurate inventory records and re-stocking, lab operating budget management, safety protocols, vendor relationships, capacity planning, and equipment calibration and maintenance. - Maintain accurate lab records, including experiment logs, maintenance schedules, and operational reports; assist in compiling technical documentation for internal and external stakeholders. - Drive continuous improvement in lab operation, equipment utilization, and equipment layout. - Partner with product designers and engineers to",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "052669cbcb52648e05c75a5d7353663f",
      "title": "Scientist, Analytical Characterization (HPLC & Mass Spec)",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/d2d7c5e8-eaaf-4140-8e44-e1fe1bbe9c3d",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.591ca6807713006fed",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "052669cbcb52648e05c75a5d7353663f",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:052669cbcb52648e05c75a5d7353663f:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bc06ba201813b830f6",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "052669cbcb52648e05c75a5d7353663f",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:052669cbcb52648e05c75a5d7353663f:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3555c6303d8870e509",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "052669cbcb52648e05c75a5d7353663f",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.92b09a38401e6e8404",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "052669cbcb52648e05c75a5d7353663f",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "106d321514a0bccaf4598d1f9feeaebd",
      "title": "Bioengineer / Molecular Biologist",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/a83daf13-a066-4ca7-b167-a2eefa85fc5a",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d060621f2cc9202698",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "106d321514a0bccaf4598d1f9feeaebd",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:106d321514a0bccaf4598d1f9feeaebd:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f137be12958fda4f82",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "106d321514a0bccaf4598d1f9feeaebd",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:106d321514a0bccaf4598d1f9feeaebd:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8d7747a0dfa841a4b5",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "106d321514a0bccaf4598d1f9feeaebd",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a88408bda233d78b13",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "106d321514a0bccaf4598d1f9feeaebd",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1a4e35314682e415d808d49a78ae8270",
      "title": "Scientific Account Executive",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Switzerland | Hybrid | Remote",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/fe12e2fd-b966-4984-abf8-7b1b535f18fc",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.37dc3b0a5dc352d88f",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1a4e35314682e415d808d49a78ae8270",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:1a4e35314682e415d808d49a78ae8270:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e5ed8a259944e0547f",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1a4e35314682e415d808d49a78ae8270",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:1a4e35314682e415d808d49a78ae8270:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0688508fc0a2b206d1",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1a4e35314682e415d808d49a78ae8270",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.75f532df005150c423",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "1a4e35314682e415d808d49a78ae8270",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "39669ec6ab3b9548ccda0efa4fa29dd9",
      "title": "Head of QC & Analytics",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/055d2310-d1db-4304-baa3-15597546e760",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.29c81928fcffce446c",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "39669ec6ab3b9548ccda0efa4fa29dd9",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:39669ec6ab3b9548ccda0efa4fa29dd9:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f2dc3e2843ad979ecf",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "39669ec6ab3b9548ccda0efa4fa29dd9",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:39669ec6ab3b9548ccda0efa4fa29dd9:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5eed46efd98ef859f6",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "39669ec6ab3b9548ccda0efa4fa29dd9",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.af78b1b0a9916bbcc8",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "39669ec6ab3b9548ccda0efa4fa29dd9",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "76f9b3dbbee537fe90282e1d431de102",
      "title": "Apprentice Aerospace Technician",
      "employer_name": "Rocket Lab",
      "employer_slug": "rocket-lab",
      "location_text": "Auckland, NZ",
      "country": "NZ",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-09T03:18:35.000Z",
      "apply_url": "https://job-boards.greenhouse.io/rocketlab/jobs/7712642003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Apprentice Aerospace Technician Auckland, NZ ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. BUILDING ELECTRON AT ROCKET LAB: Are you hands-on, eager to learn, and ready to kickstart an exciting career in the aerospace industry? If you're ready to take on a challenge and learn a trade that's truly out of this world, Rocket Lab wants YOU! Rocket Lab's Electron team is responsible for building, testing, and launching our Electron rocket across the United States and New Zealand. Electron is one of the world's most frequently-launched rockets, and our team behind its success are diligent, move fast, and have each others' back to deliver a reliable rocket to",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": true,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1cf9bc9f7e75d242a8",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "76f9b3dbbee537fe90282e1d431de102",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Apprentice Aerospace Technician Auckland, NZ ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. BUILDING ELECTRON AT ROCKET LAB: Are you hands-on, eager to learn, and ready to kickstart an exciting career in the aerospace industry? If you're ready to take on a challenge and learn a trade that's truly out of this world, Rocket Lab wants YOU! Rocket Lab's Electron team is responsible for building, testing, and launching our Electron rocket across the United States and New Zealand. Electron is one of the world's most frequently-launched rockets, and our team behind its success are diligent, move fast, and have each others' back to deliver a reliable rocket to",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:76f9b3dbbee537fe90282e1d431de102:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1efa6da230d79ab6bc",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "76f9b3dbbee537fe90282e1d431de102",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Apprentice Aerospace Technician Auckland, NZ ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. BUILDING ELECTRON AT ROCKET LAB: Are you hands-on, eager to learn, and ready to kickstart an exciting career in the aerospace industry? If you're ready to take on a challenge and learn a trade that's truly out of this world, Rocket Lab wants YOU! Rocket Lab's Electron team is responsible for building, testing, and launching our Electron rocket across the United States and New Zealand. Electron is one of the world's most frequently-launched rockets, and our team behind its success are diligent, move fast, and have each others' back to deliver a reliable rocket to",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "77768d565323bb2bd19aaf98e6c0dbc0",
      "title": "Scientist, Protein Expression & Purification",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne | OnSite",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/2c8c23dd-dab9-4876-bc0d-a5ffd68a3179",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2037ec70a6842e2819",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "77768d565323bb2bd19aaf98e6c0dbc0",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:77768d565323bb2bd19aaf98e6c0dbc0:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.636c91354b1da84046",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "77768d565323bb2bd19aaf98e6c0dbc0",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:77768d565323bb2bd19aaf98e6c0dbc0:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.418e22460310ee6150",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "77768d565323bb2bd19aaf98e6c0dbc0",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7d678c41ea69dcb235",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "77768d565323bb2bd19aaf98e6c0dbc0",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cf270bf0224982f49e578700efc33d45",
      "title": "Wildcard Application",
      "employer_name": "Adaptyv",
      "employer_slug": "adaptyv",
      "location_text": "Lausanne / Hybrid / Remote | Hybrid | Remote",
      "country": "CH",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "yc"
      ],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/adaptyv/3204f0c1-1e66-471c-96ff-7825dbf56e61",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a \"submit your CV and see what happens\" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.33af036b6d727ae5ec",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf270bf0224982f49e578700efc33d45",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a \"submit your CV and see what happens\" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:cf270bf0224982f49e578700efc33d45:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fb20ec827707a4550b",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf270bf0224982f49e578700efc33d45",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description matched \"labs\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a \"submit your CV and see what happens\" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but",
          "matched_input": "labs",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:cf270bf0224982f49e578700efc33d45:description:labs",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.506340d708de8626bd",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf270bf0224982f49e578700efc33d45",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a \"submit your CV and see what happens\" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fadc133591bb10ab4e",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "cf270bf0224982f49e578700efc33d45",
          "signal_type": "query_match",
          "display_text": "Description: \"labs\"",
          "tooltip": "Description contains \"labs\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a \"submit your CV and see what happens\" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but",
          "matched_input": "labs",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "dfffd34ed1741cd97416cbd0cdd299c7",
      "title": "ISTA Test Lab Technician",
      "employer_name": "Newell Brands",
      "employer_slug": "newell-brands",
      "location_text": "Country Belgium | Additional Job Posting Location(s)",
      "country": "BE",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.newellbrands.com/job/Sint-Niklaas-ISTA-Test-Lab-Technician/1361881200/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "ISTA Test Lab Technician Country Belgium | Additional Job Posting Location(s) Newell Brands is a leading $8.3B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 25,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership. Quality & Packaging Test Lab Specialist Location: Sint-Niklaas, Belgium Contract: Full-time, Permanent Make an Impact Behind Every Product At Newell Brands, our products touch millions of consumers every day. Before they reach customers, they go through rigorous testing and quality control - and that's where you come in. We are looking for a Quality & Packaging Test Lab Specialist to join our Sint-Niklaas site. In this role, you will play a critical part in ensuring product quality, safety, and packaging performance by combining QA lab activities and packaging test expertise . Working closely with Quality, R&D, Packaging and Operations teams, you will directly contribute to delivering reliable, compliant, and high-performing products. What You'll Be Doing You will operate at the intersection of quality control and product testing , with ownership of both daily lab operations and packaging validation: Manage and execute incoming (IQC) and in-process (IPQC) quality inspections Ensure smooth day",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f81e14bda8ca58c4d2",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "dfffd34ed1741cd97416cbd0cdd299c7",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description matched \"world\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "ISTA Test Lab Technician Country Belgium | Additional Job Posting Location(s) Newell Brands is a leading $8.3B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 25,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership. Quality & Packaging Test Lab Specialist Location: Sint-Niklaas, Belgium Contract: Full-time, Permanent Make an Impact Behind Every Product At Newell Brands, our products touch millions of consumers every day. Before they reach customers, they go through rigorous testing and quality control - and that's where you come in. We are looking for a Quality & Packaging Test Lab Specialist to join our Sint-Niklaas site. In this role, you will play a critical part in ensuring product quality, safety, and packaging performance by combining QA lab activities and packaging test expertise . Working closely with Quality, R&D, Packaging and Operations teams, you will directly contribute to delivering reliable, compliant, and high-performing products. What You'll Be Doing You will operate at the intersection of quality control and product testing , with ownership of both daily lab operations and packaging validation: Manage and execute incoming (IQC) and in-process (IPQC) quality inspections Ensure smooth day",
          "matched_input": "world",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_8b7f60cd507ba8cc42ec:dfffd34ed1741cd97416cbd0cdd299c7:description:world",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b839ead683c1de8900",
          "query_id": "gq_8b7f60cd507ba8cc42ec",
          "job_id": "dfffd34ed1741cd97416cbd0cdd299c7",
          "signal_type": "query_match",
          "display_text": "Description: \"world\"",
          "tooltip": "Description contains \"world\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "ISTA Test Lab Technician Country Belgium | Additional Job Posting Location(s) Newell Brands is a leading $8.3B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 25,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership. Quality & Packaging Test Lab Specialist Location: Sint-Niklaas, Belgium Contract: Full-time, Permanent Make an Impact Behind Every Product At Newell Brands, our products touch millions of consumers every day. Before they reach customers, they go through rigorous testing and quality control - and that's where you come in. We are looking for a Quality & Packaging Test Lab Specialist to join our Sint-Niklaas site. In this role, you will play a critical part in ensuring product quality, safety, and packaging performance by combining QA lab activities and packaging test expertise . Working closely with Quality, R&D, Packaging and Operations teams, you will directly contribute to delivering reliable, compliant, and high-performing products. What You'll Be Doing You will operate at the intersection of quality control and product testing , with ownership of both daily lab operations and packaging validation: Manage and execute incoming (IQC) and in-process (IPQC) quality inspections Ensure smooth day",
          "matched_input": "world",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    }
  ],
  "total": 2719,
  "page": 2,
  "per_page": 24,
  "applied_filters": {
    "q": "World Labs",
    "quality_floor": "all"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "all",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "world",
      "labs"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}