{ "results": [ { "id": "8588b34c7526a19afa2378a4d327c271", "title": "Medical Director – Medical Genetics & Genomics – EviCore", "employer_name": "The Cigna Group", "employer_slug": "the-cigna-group", "location_text": "United States Work at Home", "country": "US", "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": "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-28T00:00:00.000Z", "apply_url": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/United-States-Work-at-Home/Medical-Director---Medical-Genetics---Genomics---EviCore_26005721", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Medical Director – Medical Genetics & Genomics – EviCore United States Work at Home posted: Posted 15 Days Ago", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://jobs.thecignagroup.com/us/en/benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://jobs.thecignagroup.com/us/en/benefits", "db_column": "parental_leave_weeks", "source_url": "https://jobs.thecignagroup.com/us/en/benefits" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://jobs.thecignagroup.com/us/en/benefits", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://jobs.thecignagroup.com/us/en/benefits" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "healthcare", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "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.b65643fcfb1852f2d7", "query_id": "gq_83daab8f618006ccff17", "job_id": "8588b34c7526a19afa2378a4d327c271", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Medical Director – Medical Genetics & Genomics – EviCore United States Work at Home posted: Posted 15 Days Ago", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:8588b34c7526a19afa2378a4d327c271:description:genomics", "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.c757d813eb6de6209c", "query_id": "gq_83daab8f618006ccff17", "job_id": "8588b34c7526a19afa2378a4d327c271", "signal_type": "query_match", "display_text": "Title: \"genomics\"", "tooltip": "Title matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Medical Director – Medical Genetics & Genomics – EviCore", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:8588b34c7526a19afa2378a4d327c271:title:genomics", "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.title.1232dbfbc345f72501", "query_id": "gq_83daab8f618006ccff17", "job_id": "8588b34c7526a19afa2378a4d327c271", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Medical Director – Medical Genetics & Genomics – EviCore", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c4abbc37b3f5dd8067c5ed0e", "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.title.05b37d7d27d6583d29", "query_id": "gq_83daab8f618006ccff17", "job_id": "8588b34c7526a19afa2378a4d327c271", "signal_type": "query_match", "display_text": "Title: \"genomics\"", "tooltip": "Title contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Medical Director – Medical Genetics & Genomics – EviCore", "matched_input": "genomics", "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.filter.verified_benefits_only.aa4ea3725268946df0", "query_id": "gq_83daab8f618006ccff17", "job_id": "8588b34c7526a19afa2378a4d327c271", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.bb3eff03eeb732a4ae", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/United-States-Work-at-Home/Medical-Director---Medical-Genetics---Genomics---EviCore_26005721", "source_values": [ "https://jobs.thecignagroup.com/us/en/benefits" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/United-States-Work-at-Home/Medical-Director---Medical-Genetics---Genomics---EviCore_26005721", "source_values": [ "https://jobs.thecignagroup.com/us/en/benefits" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/United-States-Work-at-Home/Medical-Director---Medical-Genetics---Genomics---EviCore_26005721", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/United-States-Work-at-Home/Medical-Director---Medical-Genetics---Genomics---EviCore_26005721", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "a36c58072eaad4672f604cae5bd72acf", "title": "Sr. Scientist I- (Biologics Bioanalysis, Characterization and Proteomics Group)", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "South San Francisco, CA, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Scientist I- (Biologics Bioanalysis, Characterization and Proteomics Group) South San Francisco, CA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Quantitative, Translational ADME Sciences (QTAS) department at AbbVie is seeking a highly motivated scientist to join the Biologics bioanalysis, characterization, and proteomics group. The main function of this position is to develop and implement LC/MS (liquid chromatography/mass spectrometry)-based bioanalysis and in vitro characterization assays of novel biologics entities. The successful candidate will be experienced in the optimization and implementation of novel and routine LC/MS-based bioanalytical methods to drive in vivo PK, TK, and PK/PD analysis as well as in vitro stability characterization of biotherapeutics. The candidate will be responsible for sample preparation, method development, bioanalytical assay operations, data analysis, report generation, and data presentation. Key tasks and responsibilities: Operate and maintain LC/MS instruments to generate high-quality experimental data. Perform affinity purification of biotherapeutic (including but not limited to monoclonal and multispecific antibody, antibody drug conjugates, antibody-siRNA conjugates, and tLNPs). Analyze data and maintain detailed, accurate and comprehensive study documentation in electronic laboratory", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "parental_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.42c9864b77c1081cce", "query_id": "gq_83daab8f618006ccff17", "job_id": "a36c58072eaad4672f604cae5bd72acf", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Sr. Scientist I- (Biologics Bioanalysis, Characterization and Proteomics Group)", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c0bf04d7adb90883dad593bb", "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.semantic.role_function.2df5275ee987485b65", "query_id": "gq_83daab8f618006ccff17", "job_id": "a36c58072eaad4672f604cae5bd72acf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:a36c58072eaad4672f604cae5bd72acf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.e7c58acfbeacd00176", "query_id": "gq_83daab8f618006ccff17", "job_id": "a36c58072eaad4672f604cae5bd72acf", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.3d7c8c5ac1a041c80d", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "10eb9b25701ed78fecdc3b9ec9c38a92", "title": "Software Development Engineer, AWS HealthOmics", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Mountain View, California, USA", "country": "US", "employment_type": "internship", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 165200, "salary_max": 223600, "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": 165200, "base_salary_max": 223600, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-29T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive", "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": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "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": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.91b0b38f7a15593ddf", "query_id": "gq_83daab8f618006ccff17", "job_id": "10eb9b25701ed78fecdc3b9ec9c38a92", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:10eb9b25701ed78fecdc3b9ec9c38a92:description:genomics", "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.73b6b0752134e04c5e", "query_id": "gq_83daab8f618006ccff17", "job_id": "10eb9b25701ed78fecdc3b9ec9c38a92", "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 Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:88009ca796bcf857e8e38a99", "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.b20a7c1902e3631ec0", "query_id": "gq_83daab8f618006ccff17", "job_id": "10eb9b25701ed78fecdc3b9ec9c38a92", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive", "matched_input": "genomics", "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.filter.verified_benefits_only.97ae766ab8abdce048", "query_id": "gq_83daab8f618006ccff17", "job_id": "10eb9b25701ed78fecdc3b9ec9c38a92", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.2e93dc97595eb7ec79", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10434973/software-development-engineer-aws-healthomics", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "11f6f484c2f23be580b60760950da3d4", "title": "Postdoctoral Fellow-Discovery Proteomics", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "US - California - Thousand Oaks", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-09T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Postdoctoral-Fellow-Discovery-Proteomics_R-246859", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Postdoctoral Fellow-Discovery Proteomics US - California - Thousand Oaks posted: Posted 3 Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.28a873a0efbf66ffdc", "query_id": "gq_83daab8f618006ccff17", "job_id": "11f6f484c2f23be580b60760950da3d4", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Postdoctoral Fellow-Discovery Proteomics", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4f3234fec8baad2d9daa9ec1", "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.semantic.role_function.ab65655cc8d16eb44d", "query_id": "gq_83daab8f618006ccff17", "job_id": "11f6f484c2f23be580b60760950da3d4", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:11f6f484c2f23be580b60760950da3d4:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.61eb53e96adb02513d", "query_id": "gq_83daab8f618006ccff17", "job_id": "11f6f484c2f23be580b60760950da3d4", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.d7cb36a3a812902a2f", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Postdoctoral-Fellow-Discovery-Proteomics_R-246859", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Postdoctoral-Fellow-Discovery-Proteomics_R-246859", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Postdoctoral-Fellow-Discovery-Proteomics_R-246859", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "ac00886ee14583a9823b609fc48b2fd5", "title": "Computational Scientist II", "employer_name": "Myriad Genetics INC", "employer_slug": "myriad-genetics", "location_text": "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": null, "salary_max": null, "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": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-04-13T00:00:00.000Z", "apply_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-09-28T08:17:56.977Z", "removed_at": null, "description_excerpt": "Computational Scientist II United States Overview The Computational Scientist II envisions, designs, builds, validates, and launches new genomic products and product features that directly improve patients' lives. Responsibility Author optimized and reliable analysis pipelines applied to samples. Rigorously analyze a variety of big datasets to gain actionable insights launched into the lab. Amplify the productivity of the entire R&D team by creating time-saving software tools and environments. Work on collaborative teams with experimental scientists, software engineers, automation engineers, and data scientists. Communicate results internally to key stakeholders and externally at conferences and in peer-reviewed literature. Qualifications PhD (or master's degree with relevant experience) in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required. Conversant in molecular biology and genetics. Exceptional software skills, preferably with fluency in Python. Impeccable integrity and palpable drive, with the competency to be self-sufficient and a strong desire to be part of a supportive team. Experience with Next Generation Sequencing preferred. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 Computational Scientist II", "parental_leave_weeks": 2, "non_birth_parent_leave_weeks": 2, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 69, "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": true, "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.semantic.title.77d9536364ceb03aa2", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Computational Scientist II", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:44ac92806c297b6c07aa2c0e", "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.filter.verified_benefits_only.74d42eb34eaa4b814a", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.3389d77544104ee146", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.6ca60f4d2ea94678d1", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_label": "Apply link", "source_date": "2026-09-28T08:17:56.977Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-09-28T08:17:56.977Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-09-28T08:17:56.977Z", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ac00886ee14583a9823b609fc48b2fd5", "title": "Computational Scientist II", "employer_name": "Myriad Genetics INC", "employer_slug": "myriad-genetics", "location_text": "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": null, "salary_max": null, "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": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-04-13T00:00:00.000Z", "apply_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-09-28T08:17:56.977Z", "removed_at": null, "description_excerpt": "Computational Scientist II United States Overview The Computational Scientist II envisions, designs, builds, validates, and launches new genomic products and product features that directly improve patients' lives. Responsibility Author optimized and reliable analysis pipelines applied to samples. Rigorously analyze a variety of big datasets to gain actionable insights launched into the lab. Amplify the productivity of the entire R&D team by creating time-saving software tools and environments. Work on collaborative teams with experimental scientists, software engineers, automation engineers, and data scientists. Communicate results internally to key stakeholders and externally at conferences and in peer-reviewed literature. Qualifications PhD (or master's degree with relevant experience) in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required. Conversant in molecular biology and genetics. Exceptional software skills, preferably with fluency in Python. Impeccable integrity and palpable drive, with the competency to be self-sufficient and a strong desire to be part of a supportive team. Experience with Next Generation Sequencing preferred. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 Computational Scientist II", "parental_leave_weeks": 2, "non_birth_parent_leave_weeks": 2, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 69, "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": true, "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.semantic.title.4fc28710aba06fd14f", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Computational Scientist II", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:dade022b774e521ad073c7e3", "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.filter.verified_benefits_only.74d42eb34eaa4b814a", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.3389d77544104ee146", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.6ca60f4d2ea94678d1", "query_id": "gq_83daab8f618006ccff17", "job_id": "ac00886ee14583a9823b609fc48b2fd5", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_label": "Apply link", "source_date": "2026-09-28T08:17:56.977Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-09-28T08:17:56.977Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-09-28T08:17:56.977Z", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "f83eb09d45405bc0cd7dac26149af116", "title": "Scientist III", "employer_name": "Myriad Genetics INC", "employer_slug": "myriad-genetics", "location_text": "Salt Lake City, UT, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-03-02T00:00:00.000Z", "apply_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-09-28T08:17:56.977Z", "removed_at": null, "description_excerpt": "Scientist III Salt Lake City, UT, United States Overview Scientist III, Genomic Science - Salt Lake City UT Scientist III leads complex research projects, designs innovative assays, and provides strategic input to the R&D team. You will work collaboratively with cross-functional teams and contribute to the advancement of our genetic testing technologies. The Research and Development group at Myriad Genetics is responsible for creating and updating a portfolio of cancer tests. The role requires individuals who are aware of both the clinical and molecular aspects of the various genes, mutational mechanisms and diseases that we work with. This position will require both strong bench and analytical skills to design, execute and analyze experiment in cfDNA and NGS fields. Perform the experimental design, execution, data collection, and data analysis of molecular assays that utilize next generation sequencing (NGS) and other methodologies for analyzing cfDNA, DNA and RNA. Lead the design, development, and optimization of existing and new advanced, molecular assays. Manage and execute complex research projects from conception to completion. Analyze, interpret, and present high-level experimental data to stakeholders. Collaborate with cross-functional teams to integrate molecular biology with automated and data-driven systems. Ensure good documentation practices for assay development, validation, quality assurance, technical investigations, and operational support of molecular diagnostic tests in a highly regulated clinical laboratory environment. Maintain familiarity with the field's concepts, practices, and procedures. Qualifications An individual with a scientific background who works well in teams including large, diverse and cross-functional settings. The ideal candidate would be familiar", "parental_leave_weeks": 2, "non_birth_parent_leave_weeks": 2, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 69, "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 7, "role_function": "other", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": true, "us_citizenship_required": true, "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.semantic.title.c350d16ebb02f5dd85", "query_id": "gq_83daab8f618006ccff17", "job_id": "f83eb09d45405bc0cd7dac26149af116", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Scientist III", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:60354e6eb111c4547df9bc47", "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.semantic.role_function.f91f05e0554a88a95a", "query_id": "gq_83daab8f618006ccff17", "job_id": "f83eb09d45405bc0cd7dac26149af116", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:f83eb09d45405bc0cd7dac26149af116:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.b36ece7e3a2290c04b", "query_id": "gq_83daab8f618006ccff17", "job_id": "f83eb09d45405bc0cd7dac26149af116", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6eac4725f01651240a", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.4b68f6652294cc14bb", "query_id": "gq_83daab8f618006ccff17", "job_id": "f83eb09d45405bc0cd7dac26149af116", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "source_label": "Apply link", "source_date": "2026-09-28T08:17:56.977Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-09-28T08:17:56.977Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-09-28T08:17:56.977Z", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/5829", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "50c8803bf104cb427821b87ee8bef2ba", "title": "Computational Scientist III", "employer_name": "Myriad Genetics INC", "employer_slug": "myriad-genetics", "location_text": "South San Francisco, CA, 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": null, "salary_max": null, "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": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-04-13T00:00:00.000Z", "apply_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-09-28T08:17:56.977Z", "removed_at": null, "description_excerpt": "Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple", "parental_leave_weeks": 2, "non_birth_parent_leave_weeks": 2, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 69, "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": 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.c835fc1d4e70a997e8", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:50c8803bf104cb427821b87ee8bef2ba:description:genomics", "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.c85dfb68c04792269d", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "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": "Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:88bfe165c376b5e062ecca59", "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.6809322617f8ed688c", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple", "matched_input": "genomics", "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.semantic.role_function.74dadd884f4f0763ef", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:50c8803bf104cb427821b87ee8bef2ba:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.6a1a89481ce7ae410d", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6937504ff21eae3e03", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.ea2ba96bf413fbdf3c", "query_id": "gq_83daab8f618006ccff17", "job_id": "50c8803bf104cb427821b87ee8bef2ba", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_label": "Apply link", "source_date": "2026-09-28T08:17:56.977Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-09-28T08:17:56.977Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-09-28T08:17:56.977Z", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6079", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "f14da0257da5cbbf76ffbbb56eb3e3a1", "title": "Senior Scientist – Research Computational Biology Platforms (ARIA)", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "3 Locations", "country": "unknown", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology-Platforms--ARIA-_R-241102", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist – Research Computational Biology Platforms (ARIA) 3 Locations posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.92115e0ef4e1b8dba6", "query_id": "gq_83daab8f618006ccff17", "job_id": "f14da0257da5cbbf76ffbbb56eb3e3a1", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist – Research Computational Biology Platforms (ARIA)", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:79828b827e66e50fa68afe26", "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.semantic.role_function.75ea17238c89123b43", "query_id": "gq_83daab8f618006ccff17", "job_id": "f14da0257da5cbbf76ffbbb56eb3e3a1", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:f14da0257da5cbbf76ffbbb56eb3e3a1:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.f828d4b73bd5c87f37", "query_id": "gq_83daab8f618006ccff17", "job_id": "f14da0257da5cbbf76ffbbb56eb3e3a1", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.34dbc9210cdbc380af", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology-Platforms--ARIA-_R-241102", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology-Platforms--ARIA-_R-241102", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology-Platforms--ARIA-_R-241102", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology-Platforms--ARIA-_R-241102", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "6dd7082bff6ffa698d8aea30e70bb81c", "title": "Senior Research Scientist I/II, Computational Biology & Toxicology", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "North Chicago, IL, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "parental_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d9aa6c71d60972407e", "query_id": "gq_83daab8f618006ccff17", "job_id": "6dd7082bff6ffa698d8aea30e70bb81c", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:6dd7082bff6ffa698d8aea30e70bb81c:description:genomics", "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.6312f4139a1d7f00b6", "query_id": "gq_83daab8f618006ccff17", "job_id": "6dd7082bff6ffa698d8aea30e70bb81c", "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 Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4665fa7d7d3ac49db87d2475", "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.980f46eb0889866128", "query_id": "gq_83daab8f618006ccff17", "job_id": "6dd7082bff6ffa698d8aea30e70bb81c", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Research Scientist I/II, Computational Biology & Toxicology North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet-lab researchers and computational", "matched_input": "genomics", "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.filter.verified_benefits_only.6ad6a2af9613a3fd2b", "query_id": "gq_83daab8f618006ccff17", "job_id": "6dd7082bff6ffa698d8aea30e70bb81c", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.08745c020d91ca20fb", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013119726-senior-research-scientist-i-ii-computational-biology-toxicology", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "9d3a459dd1deab95efd2015f249dc23c", "title": "Executive Director, Site Head, Amgen Genome Valley (AGV)", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "India - Hyderabad", "country": "IN", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Executive-Director--Site-Head--Amgen-Genome-Valley--AGV-_R-243468", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Executive Director, Site Head, Amgen Genome Valley (AGV) India - Hyderabad posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "marketing", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.0e279beb6f2b333c98", "query_id": "gq_83daab8f618006ccff17", "job_id": "9d3a459dd1deab95efd2015f249dc23c", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Executive Director, Site Head, Amgen Genome Valley (AGV)", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:ea2bda18133b1ff6ec8a5356", "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.filter.verified_benefits_only.248114658efecc9a53", "query_id": "gq_83daab8f618006ccff17", "job_id": "9d3a459dd1deab95efd2015f249dc23c", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.e4fd6c527a6dae2535", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Executive-Director--Site-Head--Amgen-Genome-Valley--AGV-_R-243468", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Executive-Director--Site-Head--Amgen-Genome-Valley--AGV-_R-243468", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Executive-Director--Site-Head--Amgen-Genome-Valley--AGV-_R-243468", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Executive-Director--Site-Head--Amgen-Genome-Valley--AGV-_R-243468", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "5dbe29373ebe40fa4be4b6038452adaf", "title": "Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "Worcester, MA, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine Worcester, MA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie's R&D, is a global organization dedicated to the discovery and optimization of innovative drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA, etc.) across all therapeutic areas. We are seeking a highly driven and innovative scientist with expertise in bioinformatics to design, develop, and optimize data capture workflows and dynamic visualization dashboards for biologics discovery. Responsibilities: Independently design digital workflows or tools to streamline biologics discovery and evaluate improvements in operational efficiency Identify, champion and test software solutions and that map to the needs of BGM Proactively identify scientist needs that further our digital transformation strategy and propose solutions to meet them Pilot new software and AI tools to evaluate utility for BGM and train others on how to use them Design and implement standard analyses and visualizations that balance customization and increased efficiency", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "parental_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.dcfbcd40d9bab0df56", "query_id": "gq_83daab8f618006ccff17", "job_id": "5dbe29373ebe40fa4be4b6038452adaf", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:88ac07fa97f5a6894361f5b6", "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.semantic.role_function.0434792ebd49adea96", "query_id": "gq_83daab8f618006ccff17", "job_id": "5dbe29373ebe40fa4be4b6038452adaf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:5dbe29373ebe40fa4be4b6038452adaf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.ec6ddbf4f690e42aca", "query_id": "gq_83daab8f618006ccff17", "job_id": "5dbe29373ebe40fa4be4b6038452adaf", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.49a9c9c369aab2eb9b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990012920057-senior-scientist-i-bioinformatics-biotherapeutics-and-genetic-medicine", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "b7c64aa408d252691099458775474cee", "title": "Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "US - California - Thousand Oaks", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-29T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs US - California - Thousand Oaks posted: Posted 14 Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.76485ec2f1c943c725", "query_id": "gq_83daab8f618006ccff17", "job_id": "b7c64aa408d252691099458775474cee", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:edaaa4a49aab3f45cec5f169", "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.semantic.role_function.e55ca8d8aa6cabf97c", "query_id": "gq_83daab8f618006ccff17", "job_id": "b7c64aa408d252691099458775474cee", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:b7c64aa408d252691099458775474cee:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.640c69d4d284194af2", "query_id": "gq_83daab8f618006ccff17", "job_id": "b7c64aa408d252691099458775474cee", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.d90dd09786b2eccc5b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "a21dde07608ff769c473ed84f3924a18", "title": "Product Mgr IV Technology", "employer_name": "Myriad Genetics INC", "employer_slug": "myriad-genetics", "location_text": "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": null, "salary_max": null, "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": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-05T00:00:00.000Z", "apply_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "apply_url_verified": true, "ats": "oraclecloud", "url_last_checked_alive": "2026-09-28T08:17:56.977Z", "removed_at": null, "description_excerpt": "Product Mgr IV Technology United States The Product Mgr IV Technology role will help lead the expansion and adoption of our genetic tests. This role will drive innovative initiatives, and the ideal candidate will have a track record of building strong relationships with partners and customers, and who has demonstrated success influencing large cross-functional teams. Responsibility Drive prioritization efforts for their product area and champion product area throughout organization. Partner with PMO, clinical genomics, Lab Directors, clinical reporting, and business stakeholders to write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Champion products throughout the organization and present updates to senior management. Define and analyze metrics that inform the success of products. Continually validate products with internal and external customer feedback and against business metrics. Qualifications Minimum of 5 years of Product Management experience with proven success shipping multiple technology products across releases. MS or Bachelor's degree with equivalent years of experience in a relevant field. Knowledge of Genomics, variant annotation and curation, and clinical reporting process. Experience or formal education in relevant Genomics field is preferred Knowledge of the healthcare space or genetics laboratory is preferred Strong leadership skills and proven ability to lead cross-functional teams. Track record of understanding stakeholder needs and delivering technology solutions to address those needs. Demonstrated ability to leverage AI tools and techniques to enhance day-to-day product management activities Proficient in", "parental_leave_weeks": 2, "non_birth_parent_leave_weeks": 2, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 69, "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 7, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": true, "us_citizenship_required": true, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.01f226b347b126e306", "query_id": "gq_83daab8f618006ccff17", "job_id": "a21dde07608ff769c473ed84f3924a18", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Mgr IV Technology United States The Product Mgr IV Technology role will help lead the expansion and adoption of our genetic tests. This role will drive innovative initiatives, and the ideal candidate will have a track record of building strong relationships with partners and customers, and who has demonstrated success influencing large cross-functional teams. Responsibility Drive prioritization efforts for their product area and champion product area throughout organization. Partner with PMO, clinical genomics, Lab Directors, clinical reporting, and business stakeholders to write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Champion products throughout the organization and present updates to senior management. Define and analyze metrics that inform the success of products. Continually validate products with internal and external customer feedback and against business metrics. Qualifications Minimum of 5 years of Product Management experience with proven success shipping multiple technology products across releases. MS or Bachelor's degree with equivalent years of experience in a relevant field. Knowledge of Genomics, variant annotation and curation, and clinical reporting process. Experience or formal education in relevant Genomics field is preferred Knowledge of the healthcare space or genetics laboratory is preferred Strong leadership skills and proven ability to lead cross-functional teams. Track record of understanding stakeholder needs and delivering technology solutions to address those needs. Demonstrated ability to leverage AI tools and techniques to enhance day-to-day product management activities Proficient in", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:a21dde07608ff769c473ed84f3924a18:description:genomics", "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.824432b950805560ac", "query_id": "gq_83daab8f618006ccff17", "job_id": "a21dde07608ff769c473ed84f3924a18", "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": "Product Mgr IV Technology United States The Product Mgr IV Technology role will help lead the expansion and adoption of our genetic tests. This role will drive innovative initiatives, and the ideal candidate will have a track record of building strong relationships with partners and customers, and who has demonstrated success influencing large cross-functional teams. Responsibility Drive prioritization efforts for their product area and champion product area throughout organization. Partner with PMO, clinical genomics, Lab Directors, clinical reporting, and business stakeholders to write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Champion products throughout the organization and present updates to senior management. Define and analyze metrics that inform the success of products. Continually validate products with internal and external customer feedback and against business metrics. Qualifications Minimum of 5 years of Product Management experience with proven success shipping multiple technology products across releases. MS or Bachelor's degree with equivalent years of experience in a relevant field. Knowledge of Genomics, variant annotation and curation, and clinical reporting process. Experience or formal education in relevant Genomics field is preferred Knowledge of the healthcare space or genetics laboratory is preferred Strong leadership skills and proven ability to lead cross-functional teams. Track record of understanding stakeholder needs and delivering technology solutions to address those needs. Demonstrated ability to leverage AI tools and techniques to enhance day-to-day product management activities Proficient in", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9a8902cf219a521aab6fa7b8", "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.212f7765634eb23c10", "query_id": "gq_83daab8f618006ccff17", "job_id": "a21dde07608ff769c473ed84f3924a18", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Product Mgr IV Technology United States The Product Mgr IV Technology role will help lead the expansion and adoption of our genetic tests. This role will drive innovative initiatives, and the ideal candidate will have a track record of building strong relationships with partners and customers, and who has demonstrated success influencing large cross-functional teams. Responsibility Drive prioritization efforts for their product area and champion product area throughout organization. Partner with PMO, clinical genomics, Lab Directors, clinical reporting, and business stakeholders to write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Write crisp and clear product requirements that drive technical specifications and user experience and interface designs. Champion products throughout the organization and present updates to senior management. Define and analyze metrics that inform the success of products. Continually validate products with internal and external customer feedback and against business metrics. Qualifications Minimum of 5 years of Product Management experience with proven success shipping multiple technology products across releases. MS or Bachelor's degree with equivalent years of experience in a relevant field. Knowledge of Genomics, variant annotation and curation, and clinical reporting process. Experience or formal education in relevant Genomics field is preferred Knowledge of the healthcare space or genetics laboratory is preferred Strong leadership skills and proven ability to lead cross-functional teams. Track record of understanding stakeholder needs and delivering technology solutions to address those needs. Demonstrated ability to leverage AI tools and techniques to enhance day-to-day product management activities Proficient in", "matched_input": "genomics", "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.filter.verified_benefits_only.6e6394cae776b37a0a", "query_id": "gq_83daab8f618006ccff17", "job_id": "a21dde07608ff769c473ed84f3924a18", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.738c715426b04758a3", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.66467466351d7566eb", "query_id": "gq_83daab8f618006ccff17", "job_id": "a21dde07608ff769c473ed84f3924a18", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_label": "Apply link", "source_date": "2026-09-28T08:17:56.977Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-09-28T08:17:56.977Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-09-28T08:17:56.977Z", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/899923/000089992326000018/mygn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_values": [ "https://www.thekrogerco.com/wp-content/uploads/2023/07/Kroger-2019-ESG-Report.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6092", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "1928973505d3b5f8c20cfb09493bb1af", "title": "Senior Scientist – Research Computational Biology (ARIA)", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "3 Locations", "country": "unknown", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology--ARIA-_R-241105", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist – Research Computational Biology (ARIA) 3 Locations posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.0bc53841c9845fbc91", "query_id": "gq_83daab8f618006ccff17", "job_id": "1928973505d3b5f8c20cfb09493bb1af", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist – Research Computational Biology (ARIA)", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d5ef6616214b2772c9ee0a88", "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.semantic.role_function.048973d7a9aed4d900", "query_id": "gq_83daab8f618006ccff17", "job_id": "1928973505d3b5f8c20cfb09493bb1af", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:1928973505d3b5f8c20cfb09493bb1af:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.f321ffb1886f0222a4", "query_id": "gq_83daab8f618006ccff17", "job_id": "1928973505d3b5f8c20cfb09493bb1af", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.eae65997ea231a7769", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology--ARIA-_R-241105", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology--ARIA-_R-241105", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology--ARIA-_R-241105", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Research-Computational-Biology--ARIA-_R-241105", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "7aa431184028efa5be2410632e387cf2", "title": "Senior Scientist - Computational Systems & Predictive Biology", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "2 Locations", "country": "unknown", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist - Computational Systems & Predictive Biology 2 Locations posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.037fad2e782db5c579", "query_id": "gq_83daab8f618006ccff17", "job_id": "7aa431184028efa5be2410632e387cf2", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist - Computational Systems & Predictive Biology", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:a9b4cbe5eb2b44b5135d7a83", "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.semantic.role_function.087aa0fbbec63507b3", "query_id": "gq_83daab8f618006ccff17", "job_id": "7aa431184028efa5be2410632e387cf2", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:7aa431184028efa5be2410632e387cf2:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.7d7cc19a86c83d75b5", "query_id": "gq_83daab8f618006ccff17", "job_id": "7aa431184028efa5be2410632e387cf2", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.7e8ffac4ff688e7e16", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "ba4e8778651b5f8d0e2da5c1ff031c56", "title": "Senior Principal Research Scientist, Computational Drug Discovery HitGen/LeadGen Team Lead", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "North Chicago, IL, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Principal Research Scientist, Computational Drug Discovery HitGen/LeadGen Team Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Purpose This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. Reports to Head of Computational Drug Discovery (CDD) and will lead the computational HitGen/LeadGen (HGLG) team. Will implement and enable close collaboration between members of the HGLG team and partners in the Target Enabling Technologies (TET) and Global Medicinal Chemistry (GMEC) teams. Must possess a strong expertise in modern medicinal chemistry, including a deep understanding of modern computational and experimental strategies, and property-based drug design. The ideal candidate will have a strong and established background from having worked on a broad range of diverse early-stage campaigns, and an established external footprint and network. Past experience will have included mentorship of early/mid-career scientists in matrixed and/or direct reporting relationships. Responsibilities Consult with project team to establish desirable project-relevant hit/lead criteria, and assigning an HGLG member to the project team that", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "parental_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.799fc1eb6efde0b973", "query_id": "gq_83daab8f618006ccff17", "job_id": "ba4e8778651b5f8d0e2da5c1ff031c56", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Principal Research Scientist, Computational Drug Discovery HitGen/LeadGen Team Lead", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0754e5a5d7672a65c160e4d9", "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.semantic.role_function.f6a0d94a2acd24f64c", "query_id": "gq_83daab8f618006ccff17", "job_id": "ba4e8778651b5f8d0e2da5c1ff031c56", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:ba4e8778651b5f8d0e2da5c1ff031c56:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.c80d7906bfe11635cf", "query_id": "gq_83daab8f618006ccff17", "job_id": "ba4e8778651b5f8d0e2da5c1ff031c56", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b610afa43daa197d25", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "e1fef68b78c378a843423de55fe9693d", "title": "Senior Scientist - Computational Discovery & Translational Analytics", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "2 Locations", "country": "unknown", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist - Computational Discovery & Translational Analytics 2 Locations posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.478afc51f1434b4618", "query_id": "gq_83daab8f618006ccff17", "job_id": "e1fef68b78c378a843423de55fe9693d", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist - Computational Discovery & Translational Analytics", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:381b47da06b83e7eddc12692", "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.semantic.role_function.f0e5bd45c22b98135f", "query_id": "gq_83daab8f618006ccff17", "job_id": "e1fef68b78c378a843423de55fe9693d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:e1fef68b78c378a843423de55fe9693d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.7230fed81648facfe9", "query_id": "gq_83daab8f618006ccff17", "job_id": "e1fef68b78c378a843423de55fe9693d", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b1836553f90f7fa36c", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "db349784ca899800147ce51c7641efc7", "title": "CDnA - Commercial Analytics Sr Manager, Obesity", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "US - California - Thousand Oaks", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/CDnA---Commercial-Analytics-Sr-Manager--Obesity_R-234569", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "CDnA - Commercial Analytics Sr Manager, Obesity US - California - Thousand Oaks posted: Posted 30+ Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.2df38096d332037b77", "query_id": "gq_83daab8f618006ccff17", "job_id": "db349784ca899800147ce51c7641efc7", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "CDnA - Commercial Analytics Sr Manager, Obesity", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e67f3fb227e68fe2ac7a7100", "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.semantic.role_function.18aeb4642929269083", "query_id": "gq_83daab8f618006ccff17", "job_id": "db349784ca899800147ce51c7641efc7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:db349784ca899800147ce51c7641efc7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.306d852b244bff1847", "query_id": "gq_83daab8f618006ccff17", "job_id": "db349784ca899800147ce51c7641efc7", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.6fabb3502a117b4dff", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/CDnA---Commercial-Analytics-Sr-Manager--Obesity_R-234569", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/CDnA---Commercial-Analytics-Sr-Manager--Obesity_R-234569", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/CDnA---Commercial-Analytics-Sr-Manager--Obesity_R-234569", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/CDnA---Commercial-Analytics-Sr-Manager--Obesity_R-234569", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "9b02ded163b626250af658e26c128472", "title": "Senior Scientist - LCMS Bioanalysis", "employer_name": "Amgen", "employer_slug": "amgen", "location_text": "US - California - South San Francisco", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-05-21T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---LCMS-Bioanalysis_R-244570", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist - LCMS Bioanalysis US - California - South San Francisco posted: Posted 22 Days Ago", "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.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "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.semantic.title.592ccbcff05027c0a8", "query_id": "gq_83daab8f618006ccff17", "job_id": "9b02ded163b626250af658e26c128472", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist - LCMS Bioanalysis", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:1816e4310ecc4f75803352c0", "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.semantic.role_function.5a799e16bdbe4d835b", "query_id": "gq_83daab8f618006ccff17", "job_id": "9b02ded163b626250af658e26c128472", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:9b02ded163b626250af658e26c128472:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.da1f13a4ce4a7953d5", "query_id": "gq_83daab8f618006ccff17", "job_id": "9b02ded163b626250af658e26c128472", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.7b9fb84295565c3428", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---LCMS-Bioanalysis_R-244570", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---LCMS-Bioanalysis_R-244570", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---LCMS-Bioanalysis_R-244570", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---LCMS-Bioanalysis_R-244570", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "bc0657ea8a24424c0792b18171fbb358", "title": "Sr. Software Engineer - Amazon FSx, FSx Control Plane", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Boston, Massachusetts, USA", "country": "US", "employment_type": "internship", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 168100, "salary_max": 227400, "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": 168100, "base_salary_max": 227400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Software Engineer - Amazon FSx, FSx Control Plane Boston, Massachusetts, USA Do you want to join a team of creative and talented software engineers who are building and operating world class services built on amazing open source technology? The Amazon FSx Control Plane engineering team is growing fast and we need your help to push the boundaries of the fastest cloud storage on AWS! Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, with over a million active customers in 190 countries around the world. AWS's code serves millions of requests per second and it does so with sub-second latency and in a fault tolerant manner. Launched at Re:Invent in November 2018, Amazon FSx for Control Plane is an AWS service that makes it easy for customers to launch and run high-performance file systems in the cloud. Our customers solve compute-intensive problems in a wide variety of industries, including genomics, media & entertainment, machine learning, autonomous vehicles, financial analysis and more, and they love it! As an engineer on Amazon FSx Control Plane, you will design, build and operate the FSx Control Plane utilizing the latest hardware technologies AWS has to offer. You will be a key contributor to the future direction and growth of the service. You will be part of a team of highly productive and action-oriented professionals as we architect and implement the next set of features and functionality. Come join the Amazon Web Services engineering team as we revolutionize the world", "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": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "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": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.533819e02750936b1f", "query_id": "gq_83daab8f618006ccff17", "job_id": "bc0657ea8a24424c0792b18171fbb358", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Software Engineer - Amazon FSx, FSx Control Plane Boston, Massachusetts, USA Do you want to join a team of creative and talented software engineers who are building and operating world class services built on amazing open source technology? The Amazon FSx Control Plane engineering team is growing fast and we need your help to push the boundaries of the fastest cloud storage on AWS! Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, with over a million active customers in 190 countries around the world. AWS's code serves millions of requests per second and it does so with sub-second latency and in a fault tolerant manner. Launched at Re:Invent in November 2018, Amazon FSx for Control Plane is an AWS service that makes it easy for customers to launch and run high-performance file systems in the cloud. Our customers solve compute-intensive problems in a wide variety of industries, including genomics, media & entertainment, machine learning, autonomous vehicles, financial analysis and more, and they love it! As an engineer on Amazon FSx Control Plane, you will design, build and operate the FSx Control Plane utilizing the latest hardware technologies AWS has to offer. You will be a key contributor to the future direction and growth of the service. You will be part of a team of highly productive and action-oriented professionals as we architect and implement the next set of features and functionality. Come join the Amazon Web Services engineering team as we revolutionize the world", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:bc0657ea8a24424c0792b18171fbb358:description:genomics", "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.6e311c207f74ba1f45", "query_id": "gq_83daab8f618006ccff17", "job_id": "bc0657ea8a24424c0792b18171fbb358", "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": "Sr. Software Engineer - Amazon FSx, FSx Control Plane Boston, Massachusetts, USA Do you want to join a team of creative and talented software engineers who are building and operating world class services built on amazing open source technology? The Amazon FSx Control Plane engineering team is growing fast and we need your help to push the boundaries of the fastest cloud storage on AWS! Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, with over a million active customers in 190 countries around the world. AWS's code serves millions of requests per second and it does so with sub-second latency and in a fault tolerant manner. Launched at Re:Invent in November 2018, Amazon FSx for Control Plane is an AWS service that makes it easy for customers to launch and run high-performance file systems in the cloud. Our customers solve compute-intensive problems in a wide variety of industries, including genomics, media & entertainment, machine learning, autonomous vehicles, financial analysis and more, and they love it! As an engineer on Amazon FSx Control Plane, you will design, build and operate the FSx Control Plane utilizing the latest hardware technologies AWS has to offer. You will be a key contributor to the future direction and growth of the service. You will be part of a team of highly productive and action-oriented professionals as we architect and implement the next set of features and functionality. Come join the Amazon Web Services engineering team as we revolutionize the world", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7f239727b36fbc8a4871c29d", "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.4ed7a279205c7c1531", "query_id": "gq_83daab8f618006ccff17", "job_id": "bc0657ea8a24424c0792b18171fbb358", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr. Software Engineer - Amazon FSx, FSx Control Plane Boston, Massachusetts, USA Do you want to join a team of creative and talented software engineers who are building and operating world class services built on amazing open source technology? The Amazon FSx Control Plane engineering team is growing fast and we need your help to push the boundaries of the fastest cloud storage on AWS! Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, with over a million active customers in 190 countries around the world. AWS's code serves millions of requests per second and it does so with sub-second latency and in a fault tolerant manner. Launched at Re:Invent in November 2018, Amazon FSx for Control Plane is an AWS service that makes it easy for customers to launch and run high-performance file systems in the cloud. Our customers solve compute-intensive problems in a wide variety of industries, including genomics, media & entertainment, machine learning, autonomous vehicles, financial analysis and more, and they love it! As an engineer on Amazon FSx Control Plane, you will design, build and operate the FSx Control Plane utilizing the latest hardware technologies AWS has to offer. You will be a key contributor to the future direction and growth of the service. You will be part of a team of highly productive and action-oriented professionals as we architect and implement the next set of features and functionality. Come join the Amazon Web Services engineering team as we revolutionize the world", "matched_input": "genomics", "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.filter.verified_benefits_only.c35be185a1a225b835", "query_id": "gq_83daab8f618006ccff17", "job_id": "bc0657ea8a24424c0792b18171fbb358", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.117c6dab2e669e3eab", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10445246/sr-software-engineer-amazon-fsx-fsx-control-plane", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "3447dc2b37387e6770f59d42b88c16c6", "title": "Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Minneapolis, Minnesota, 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": 153600, "salary_max": 207800, "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": 153600, "base_salary_max": 207800, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Minneapolis, Minnesota, USA Do you help healthcare organizations architect production AI/ML systems that improve patient outcomes at scale? Do you bring a technical vision for the future of healthcare AI - from generative AI and agentic architectures to clinical decision support and health data platforms? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long-term solutions? Would you like to be an influential healthcare AI/ML leader at Amazon Web Services? Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers - from providers and payers to med-tech and bio-pharma - driving AI/ML adoption from experimentation through production. Your broad responsibilities will include: • Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level • Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics) • Handling complex business and technology problems - defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach • Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact •", "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": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": 30, "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": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.81e89d480fb4135a6d", "query_id": "gq_83daab8f618006ccff17", "job_id": "3447dc2b37387e6770f59d42b88c16c6", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Minneapolis, Minnesota, USA Do you help healthcare organizations architect production AI/ML systems that improve patient outcomes at scale? Do you bring a technical vision for the future of healthcare AI - from generative AI and agentic architectures to clinical decision support and health data platforms? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long-term solutions? Would you like to be an influential healthcare AI/ML leader at Amazon Web Services? Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers - from providers and payers to med-tech and bio-pharma - driving AI/ML adoption from experimentation through production. Your broad responsibilities will include: • Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level • Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics) • Handling complex business and technology problems - defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach • Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact •", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:3447dc2b37387e6770f59d42b88c16c6:description:genomics", "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.d2ab955c6a0229f38b", "query_id": "gq_83daab8f618006ccff17", "job_id": "3447dc2b37387e6770f59d42b88c16c6", "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": "Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Minneapolis, Minnesota, USA Do you help healthcare organizations architect production AI/ML systems that improve patient outcomes at scale? Do you bring a technical vision for the future of healthcare AI - from generative AI and agentic architectures to clinical decision support and health data platforms? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long-term solutions? Would you like to be an influential healthcare AI/ML leader at Amazon Web Services? Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers - from providers and payers to med-tech and bio-pharma - driving AI/ML adoption from experimentation through production. Your broad responsibilities will include: • Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level • Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics) • Handling complex business and technology problems - defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach • Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact •", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2b97716f5a07a5b1e40fa336", "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.af4cfa936ee945eedd", "query_id": "gq_83daab8f618006ccff17", "job_id": "3447dc2b37387e6770f59d42b88c16c6", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare Minneapolis, Minnesota, USA Do you help healthcare organizations architect production AI/ML systems that improve patient outcomes at scale? Do you bring a technical vision for the future of healthcare AI - from generative AI and agentic architectures to clinical decision support and health data platforms? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long-term solutions? Would you like to be an influential healthcare AI/ML leader at Amazon Web Services? Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers - from providers and payers to med-tech and bio-pharma - driving AI/ML adoption from experimentation through production. Your broad responsibilities will include: • Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level • Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics) • Handling complex business and technology problems - defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach • Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact •", "matched_input": "genomics", "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.filter.verified_benefits_only.8550f87c9ea71be2f0", "query_id": "gq_83daab8f618006ccff17", "job_id": "3447dc2b37387e6770f59d42b88c16c6", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.be4410a1d29e10ae8e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10443463/solutions-architect-iii-hcls-ai-ml-and-data-strategy-specialists-global-healthcare", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "121214fce3b0e061a2b60f5a411e59d6", "title": "Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Dublin, IRL", "country": "IE", "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": "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-27T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS Dublin, IRL Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers. As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives. - Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises - Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption - Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable - Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, SageMaker, HealthLake, and", "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": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 9, "role_function": "customer_success", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": 10, "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.36aec82b6e8b0e0c48", "query_id": "gq_83daab8f618006ccff17", "job_id": "121214fce3b0e061a2b60f5a411e59d6", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description matched \"genomics\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS Dublin, IRL Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers. As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives. - Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises - Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption - Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable - Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, SageMaker, HealthLake, and", "matched_input": "genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:121214fce3b0e061a2b60f5a411e59d6:description:genomics", "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.b739d2fa40cbff7ca2", "query_id": "gq_83daab8f618006ccff17", "job_id": "121214fce3b0e061a2b60f5a411e59d6", "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": "Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS Dublin, IRL Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers. As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives. - Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises - Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption - Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable - Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, SageMaker, HealthLake, and", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9e4cc686229be30db1dfcab4", "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.9ebc03ef94db980342", "query_id": "gq_83daab8f618006ccff17", "job_id": "121214fce3b0e061a2b60f5a411e59d6", "signal_type": "query_match", "display_text": "Description: \"genomics\"", "tooltip": "Description contains \"genomics\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS Dublin, IRL Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers. As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives. - Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises - Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption - Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable - Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, SageMaker, HealthLake, and", "matched_input": "genomics", "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.filter.verified_benefits_only.560a432795bc7c4ca0", "query_id": "gq_83daab8f618006ccff17", "job_id": "121214fce3b0e061a2b60f5a411e59d6", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.83b876f3cde6af0a1f", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10378163/sr-technical-account-manager-aws-enterprise-support-strategic-industries-healthcare-life-sciences-es-si-hcls", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "aac7c7d03afe565e26d82b5a9ce80af5", "title": "Senior Scientist I - Cell Culture Process Development", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "Worcester, MA, 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": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base_plus_commission", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientist I - Cell Culture Process Development Worcester, MA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: We are seeking an enthusiastic and creative hands-on senior scientist to join the Cell Culture Process Development group within PDS&T Biologics at AbbVie Bioresearch Center in Worcester, MA. As part of the Cell Culture Development organization, you will support process development and technology transfer activities for cell culture processes, contributing to the clinical manufacturing and commercialization of therapeutic proteins in the AbbVie pipeline. Additionally, you will be a part of a team that provides subject matter expertise and experimental support for the production of commercial biologics. The ideal candidate will work effectively both independently and collaboratively within a dynamic team environment. Key Responsibilities: Develop and characterize highly-productive CHO cell culture processes suitable for cGMP biotherapeutic manufacturing within project timelines, performing technical transfer, and manufacturing support activities. Lead and execute scientific research and development initiatives to reduce cost of goods (COGs) by significantly improving platform processes and workflows, deepening scientific understanding, and applying new methods and technologies.", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "parental_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.825ba85c2045c71c0b", "query_id": "gq_83daab8f618006ccff17", "job_id": "aac7c7d03afe565e26d82b5a9ce80af5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Scientist I - Cell Culture Process Development", "matched_input": "whitelab genomics", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:86e52873f7520ed142024818", "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.semantic.role_function.0023eff35a834e978d", "query_id": "gq_83daab8f618006ccff17", "job_id": "aac7c7d03afe565e26d82b5a9ce80af5", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "whitelab genomics", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_83daab8f618006ccff17:aac7c7d03afe565e26d82b5a9ce80af5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.323e7b095bcfee9bb0", "query_id": "gq_83daab8f618006ccff17", "job_id": "aac7c7d03afe565e26d82b5a9ce80af5", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.f69ce52b9295b94116", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1551152/000155115226000008/abbv-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "source_values": [ "https://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/AbbVie/3743990013535586-senior-scientist-i-cell-culture-process-development", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } } ], "total": 0, "page": 1, "per_page": 24, "applied_filters": { "q": "WhiteLab Genomics", "verified_benefits_only": true }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default", "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": [ "whitelab", "genomics" ], "active_filter_keys": [ "verified_benefits_only" ], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "91f41529-af7f-45d7-81bf-5b1834efa8b1", "issued_at": "2026-10-02T11:29:35.848Z", "route": "/jobs", "page": 1, "per_page": 24, "total_results": 0, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:sX4GYsG0hmGOPKVHUtjfotlbPHGWmfmwzcaRo5aDZR0", "filter_hash": "hmac_sha256:_ii06B5G22j5ieRNT8nQ7-rpmeWu1C1W8rx0WNTWoog", "query_features": { "has_q": true, "q_term_count": 2, "q_length_bucket": "16_40", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [ "verified_benefits_only" ], "quality_floor": "default" }, "exposures": [ { "result_id": "8588b34c7526a19afa2378a4d327c271", "position": 1, "page_position": 1, "retrieval_features": { "bm25_score": -9.944707870483398, "vector_score": 0, "rrf_score": 0.016129032258064516, "rerank_score": -9.887210845947266, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 127, "quality_score": 35 } }, { "result_id": "a36c58072eaad4672f604cae5bd72acf", "position": 2, "page_position": 2, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3280675411224365, "rrf_score": 0.013888888888888888, "rerank_score": -10.478638648986816, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 114, "quality_score": 45 } }, { "result_id": "10eb9b25701ed78fecdc3b9ec9c38a92", "position": 3, "page_position": 3, "retrieval_features": { "bm25_score": -6.7947869300842285, "vector_score": 0, "rrf_score": 0.015625, "rerank_score": -10.779253959655762, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 126, "quality_score": 55 } }, { "result_id": "11f6f484c2f23be580b60760950da3d4", "position": 4, "page_position": 4, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32419578288818585, "rrf_score": 0.015384615384615385, "rerank_score": -11.067927360534668, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 115, "quality_score": 35 } }, { "result_id": "ac00886ee14583a9823b609fc48b2fd5", "position": 5, "page_position": 5, "retrieval_features": { "bm25_score": -4.650938034057617, "vector_score": 0, "rrf_score": 0.015384615384615385, "rerank_score": -11.13321590423584, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 172, "quality_score": 45 } }, { "result_id": "ac00886ee14583a9823b609fc48b2fd5", "position": 6, "page_position": 6, "retrieval_features": { "bm25_score": -4.650938034057617, "vector_score": 0, "rrf_score": 0.015151515151515152, "rerank_score": -11.13321590423584, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 172, "quality_score": 45 } }, { "result_id": "f83eb09d45405bc0cd7dac26149af116", "position": 7, "page_position": 7, "retrieval_features": { "bm25_score": -4.231543064117432, "vector_score": 0.3289987844825504, "rrf_score": 0.025353016688061617, "rerank_score": -11.191133499145508, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 214, "quality_score": 45 } }, { "result_id": "50c8803bf104cb427821b87ee8bef2ba", "position": 8, "page_position": 8, "retrieval_features": { "bm25_score": -4.231543064117432, "vector_score": 0.3252879180099937, "rrf_score": 0.027443609022556388, "rerank_score": -11.27641487121582, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 172, "quality_score": 45 } }, { "result_id": "f14da0257da5cbbf76ffbbb56eb3e3a1", "position": 9, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32404385065770924, "rrf_score": 0.015625, "rerank_score": -11.389293670654297, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "6dd7082bff6ffa698d8aea30e70bb81c", "position": 10, "page_position": 10, "retrieval_features": { "bm25_score": -4.431339740753174, "vector_score": 0, "rrf_score": 0.014285714285714285, "rerank_score": -11.395594596862793, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 114, "quality_score": 45 } }, { "result_id": "9d3a459dd1deab95efd2015f249dc23c", "position": 11, "page_position": 11, "retrieval_features": { "bm25_score": -9.977746963500977, "vector_score": 0, "rrf_score": 0.01639344262295082, "rerank_score": -11.407439231872559, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "5dbe29373ebe40fa4be4b6038452adaf", "position": 12, "page_position": 12, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3202652144273975, "rrf_score": 0.015873015873015872, "rerank_score": -11.41564655303955, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 114, "quality_score": 45 } }, { "result_id": "b7c64aa408d252691099458775474cee", "position": 13, "page_position": 13, "retrieval_features": { "bm25_score": 0, "vector_score": 0.28468066453933716, "rrf_score": 0.01639344262295082, "rerank_score": -11.41772747039795, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 126, "quality_score": 35 } }, { "result_id": "a21dde07608ff769c473ed84f3924a18", "position": 14, "page_position": 14, "retrieval_features": { "bm25_score": -7.805766582489014, "vector_score": 0, "rrf_score": 0.015873015873015872, "rerank_score": -11.436942100524902, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 150, "quality_score": 45 } }, { "result_id": "1928973505d3b5f8c20cfb09493bb1af", "position": 15, "page_position": 15, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32885734266892896, "rrf_score": 0.013333333333333334, "rerank_score": -11.44351577758789, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "7aa431184028efa5be2410632e387cf2", "position": 16, "page_position": 16, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32482079715604684, "rrf_score": 0.014492753623188406, "rerank_score": -11.449758529663086, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "ba4e8778651b5f8d0e2da5c1ff031c56", "position": 17, "page_position": 17, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3246070146560669, "rrf_score": 0.014925373134328358, "rerank_score": -11.455982208251953, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 112, "quality_score": 45 } }, { "result_id": "e1fef68b78c378a843423de55fe9693d", "position": 18, "page_position": 18, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32822394371032715, "rrf_score": 0.0136986301369863, "rerank_score": -11.459502220153809, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "db349784ca899800147ce51c7641efc7", "position": 19, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3066315468173285, "rrf_score": 0.016129032258064516, "rerank_score": -11.513160705566406, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 143, "quality_score": 35 } }, { "result_id": "9b02ded163b626250af658e26c128472", "position": 20, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32853275537490845, "rrf_score": 0.013513513513513514, "rerank_score": -11.524343490600586, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 134, "quality_score": 35 } }, { "result_id": "bc0657ea8a24424c0792b18171fbb358", "position": 21, "page_position": 21, "retrieval_features": { "bm25_score": -4.650938034057617, "vector_score": 0, "rrf_score": 0.014925373134328358, "rerank_score": -11.526230812072754, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 114, "quality_score": 55 } }, { "result_id": "3447dc2b37387e6770f59d42b88c16c6", "position": 22, "page_position": 22, "retrieval_features": { "bm25_score": -4.231543064117432, "vector_score": 0, "rrf_score": 0.013513513513513514, "rerank_score": -11.534749031066895, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 115, "quality_score": 55 } }, { "result_id": "121214fce3b0e061a2b60f5a411e59d6", "position": 23, "page_position": 23, "retrieval_features": { "bm25_score": -4.231543064117432, "vector_score": 0, "rrf_score": 0.0136986301369863, "rerank_score": -11.53922176361084, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 189, "quality_score": 45 } }, { "result_id": "aac7c7d03afe565e26d82b5a9ce80af5", "position": 24, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.32479826660166466, "rrf_score": 0.014705882352941176, "rerank_score": -11.54165267944336, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 114, "quality_score": 45 } } ] }, "context_signature": "4W3f3b-7wT2MrHap4DLT4Fdt0jIabEkqc_7t1Govd44", "event_token": "4W3f3b-7wT2MrHap4DLT4Fdt0jIabEkqc_7t1Govd44" } }