I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Synthetic Sciences
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- verified_benefits_only: true
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

---
TITLE: Process Development Associate, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Process-Development-Associate--Analytics--Synthetic-and-Bioconjugation-Scale-Up-Technologies--SBST---1-of-2-_R47642
EXCERPT: Process Development Associate, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Scientist I - Early Analytical Development, Synthetic Molecules
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013491756-scientist-i-early-analytical-development-synthetic-molecules
EXCERPT: Scientist I - Early Analytical Development, Synthetic Molecules 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: For the Scientist I position, we are seeking a highly motivated candidate who can efficiently develop and optimize new methods and techniques to generate reliable and reproducible data in a timely manner and demonstrate broad versatile technical expertise. They will support early phase development of New Synthetic Molecules particularly newly emerging modalities such as peptides, siRNA, conjugatable payloads for Antibody Drug Conjugates, and small molecules , in both the preclinical- and clinical-development space and collaborate within the global Analytical R&D organization and with R&D cross-functional partners such as Pre-Clinical Safety (PCS), Process Chemistry, Process Engineering, Drug Product Development (DPD), Quality Assurance (QA), and CMC-Regulatory Affairs. This position will focus primarily on transitioning NCEs from Discovery into Development Sciences and the individual will independently serve as an Analytical Research and Development analyst to support a highly cross-functional team, which includes Discovery, Process Chemistry, Quantitative and Translational ADME Sciences (QTAS), Safety Pharmacology, Pre-Clinical Safety (PCS), and Molecular
---
TITLE: Synthetic Chemist
EMPLOYER: Leidos
LOCATION: Wharton, NJ (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Wharton-NJ/Synthetic-Chemist_R-00183229
EXCERPT: Synthetic Chemist Wharton, NJ posted: Posted 30 Days Ago
---
TITLE: Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs
EMPLOYER: Amgen
LOCATION: US - California - Thousand Oaks (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322
EXCERPT: Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs US - California - Thousand Oaks posted: Posted 14 Days Ago
---
TITLE: Process Development Engineer II, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Process-Development-Engineer-II--Analytics--Synthetic-and-Bioconjugation-Scale-Up-Technologies--SBST-_R47643-1
EXCERPT: Process Development Engineer II, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Process Development Engineer I - Synthetic and Bioconjugation Scale-Up Technologies (SBST)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Process-Development-Engineer-I---Synthetic-and-Bioconjugation-Scale-Up-Technologies--SBST-_R47874
EXCERPT: Process Development Engineer I - Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Process Development Engineer III, Analytical Science: Synthetic and Bioconjugation Scale-Up Technologies (SBST)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Process-Development-Engineer-III---Analytics--Synthetic-and-Bioconjugation-Scale-Up-Technologies--SBST-_R47644
EXCERPT: Process Development Engineer III, Analytical Science: Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Process Development Associate, Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Process-Development-Associate--Synthetic-and-Bioconjugation-Scale-Up-Technologies--SBST---1-of-2-_R47542
EXCERPT: Process Development Associate, Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Synthetic ISR Scenario Developer
EMPLOYER: Leidos
LOCATION: Las Vegas, NV (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Las-Vegas-NV/Synthetic-ISR-Scenario-Developer_R-00182676
EXCERPT: Synthetic ISR Scenario Developer Las Vegas, NV posted: Posted 30+ Days Ago
---
TITLE: Sr Staff Engineer, Synthetic and Bioconjugation Scale-Up Technologies (PMPD)
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Staff-Engineer--Synthetic-and-Bioconjugation-Scale-Up-Technologies--PMPD-_R44429
EXCERPT: Sr Staff Engineer, Synthetic and Bioconjugation Scale-Up Technologies (PMPD) TARRYTOWN posted: Posted 4 Days Ago
---
TITLE: Synthetics Principal Product Quality Leader
EMPLOYER: Amgen
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Synthetics-Principal-Product-Quality-Leader_R-246391
EXCERPT: Synthetics Principal Product Quality Leader 2 Locations posted: Posted 7 Days Ago
---
TITLE: Applied Sciences Manager , Ads Brand Safety and Suitability
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437832/applied-sciences-manager-ads-brand-safety-and-suitability
EXCERPT: Applied Sciences Manager , Ads Brand Safety and Suitability London, England, GBR Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality
---
TITLE: Applied Scientist, Edge AI and Science
EMPLOYER: Amazon
LOCATION: Cambridge, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science
EXCERPT: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,
---
TITLE: Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center
EMPLOYER: Amazon
LOCATION: Tokyo, JPN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10439323/senior-applied-scientist-generative-artificial-intelligence-ai-innovation-center
EXCERPT: Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample
---
TITLE: Senior Associate Scientist - Protein Expression Science
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Senior-Associate-Scientist---Protein-Expression-Science_R48157
EXCERPT: Senior Associate Scientist - Protein Expression Science TARRYTOWN posted: Posted Yesterday
---
TITLE: Senior Scientist I Computational Chemistry
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013207177-senior-scientist-i-computational-chemistry
EXCERPT: Senior Scientist I Computational Chemistry 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 Molecular Profiling and Drug Delivery (MPDD) function within the Synthetic Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During virtual screening/lead generation/optimization and through candidate selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively design and progress candidates with higher probability of success into development and advise clinical drug delivery strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. Computational chemists within AbbVie's MPPD organization work collaboratively with other functions within Development Sciences and Discovery Sciences across two focus areas: molecular design and profiling and formulation design across modalities. MPDD
---
TITLE: Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine)
EMPLOYER: Amgen
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Principal-Scientist---Computational-Biology---Translational-AI--Oncology-Precision-Medicine-_R-237397
EXCERPT: Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine) 2 Locations posted: Posted 30+ Days Ago
---
TITLE: Sr. Applied Scientist, Agentic Automated Reasoning Group
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10421621/sr-applied-scientist-agentic-automated-reasoning-group
EXCERPT: Sr. Applied Scientist, Agentic Automated Reasoning Group Boston, Massachusetts, USA The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking a Sr. Applied Scientist with broad interest and expertise in interactive theorem proving, programming language semantics, deductive verification and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - End-to-end technical leadership for delivering AR solutions working backwards customer use cases. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use tools spanning from fuzzers, property-based testing to model checkers, and interactive theorem provers
---
TITLE: Sr Applied Scientist, Generative AI/ML
EMPLOYER: Adobe Inc.
LOCATION: Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Sr-Applied-Scientist--Generative-AI-ML_R161947
EXCERPT: Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago
---
TITLE: Part-time Applied Scientist, Labs, SCOT Forecasting and Labs
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $184K-$249K
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10444177/part-time-applied-scientist-labs-scot-forecasting-and-labs
EXCERPT: Part-time Applied Scientist, Labs, SCOT Forecasting and Labs New York, New York, USA At Amazon, our SCOT Labs team owns and operates the experimentation platform that powers randomized controlled trials (RCTs) across Supply Chain Optimization Technologies (SCOT). We are the scientific gatekeepers for policy updates that govern how Amazon buys, stores, and moves billions of units of inventory worldwide. This is not traditional A/B testing: we are building the infrastructure and methodology to causally evaluate complex and interconnected supply chain interventions. Our platform runs experiments that span millions of products and hundreds of fulfillment nodes simultaneously, measuring the real-world impact of policy changes on inventory health, customer experience, and operational cost. We are also advancing the science of causal inference in supply chain settings by developing novel approaches to treatment effect estimation, interference modeling, and emulation techniques that allow us to assess policy impact faster and more accurately than ever before. The experiments you design and the methods you build here will directly determine which policies ship to production. These decisions influence hundreds of millions of dollars in weekly inventory investments, labor allocation for tens of thousands of associates, and Amazon's overall supply chain efficiency. Beyond operational impact, this team pushes the frontier of causal experimentation methodology and contributes to the broader scientific community with publications at top venues. If you are a scientist who wants to shape how one of the world's largest supply chains makes decisions - solving causal inference challenges in real-world settings no academic lab or
---
TITLE: Principal Research Scientist I Eng
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013107926-principal-research-scientist-i-eng
EXCERPT: Principal Research Scientist I Eng 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: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help prepare and
---
TITLE: Senior Scientist II – ADC Reaction Engineer
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013483206-senior-scientist-ii-adc-reaction-engineer
EXCERPT: Senior Scientist II – ADC Reaction Engineer 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: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help
---
TITLE: Technical Program Manager, PXT Central Science
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $149K-$201K
POSTED: 2026-04-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10405844/technical-program-manager-pxt-central-science
EXCERPT: Technical Program Manager, PXT Central Science Seattle, Washington, USA The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are seeking a Sr. Technical Program Manager (TPM) to own and drive the Automated Causal Evaluation (ACE) platform - a self-service tool that enables program managers across Amazon to design and evaluate the causal impact of employee programs using A/B testing, matching, and synthetic difference-in-differences methods. ACE has evaluated 280+ programs across 130+ users and is expanding rapidly with new capabilities including a GenAI chatbot, API integrations, a searchable repository of past evaluations, and an ROI recommendations engine. You will work at the intersection of the ACE Science Team - economists, data scientists, and applied scientists who develop and maintain ACE's causal inference models - and the ACE Tech Team - UX researchers, software development engineers, and product managers who build and ship the platform. Your role is to ensure these teams deliver a cohesive product on time, coordinating across science development, engineering implementation, UX research, and customer-facing launches. You will manage the end-to-end program lifecycle for ACE's roadmap: scoping new capabilities with the science and product teams, translating scientific methodology into engineering requirements, developing
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TITLE: Scientist
EMPLOYER: Amgen
LOCATION: US - Massachusetts - Cambridge (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Massachusetts---Cambridge/Scientist_R-243911
EXCERPT: Scientist US - Massachusetts - Cambridge posted: Posted 14 Days Ago
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TITLE: Associate Scientist
EMPLOYER: Amgen
LOCATION: US - California - South San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Associate-Scientist_R-247531
EXCERPT: Associate Scientist US - California - South San Francisco posted: Posted Yesterday
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TITLE: Senior Scientist - Computational Discovery & Translational Analytics
EMPLOYER: Amgen
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Discovery---Translational-Analytics_R-241066
EXCERPT: Senior Scientist - Computational Discovery & Translational Analytics 2 Locations posted: Posted 30+ Days Ago
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TITLE: Sr. Research Engineer, AWS Agentic AI
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436422/sr-research-engineer-aws-agentic-ai
EXCERPT: Sr. Research Engineer, AWS Agentic AI New York, New York, USA Come join the AWS AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - Agentic AI, Autonomous long running agents, API orchestration, Planning, large multimodal models (especially vision-language models), RAG, reinforcement learning (RL) and sequential decision making. About the team Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who
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TITLE: Language Engineer, Artificial General Intelligence - Data Services
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $86K-$151K
POSTED: 2025-10-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3099797/language-engineer-artificial-general-intelligence-data-services
EXCERPT: Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything
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TITLE: Senior Language Engineer, Artificial General Intelligence - Data Services
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $93K-$160K
POSTED: 2025-11-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3132875/senior-language-engineer-artificial-general-intelligence-data-services
EXCERPT: Senior Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Senior Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Define and lead the organization's data creation strategies for our science partners - Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the
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TITLE: Junior SOC Design Verification Engineer, Google Cloud
EMPLOYER: Google
LOCATION: Tel Aviv, Israel; +1 more (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQxZE6zbSNhkWBrnPF0OstbO6R79kPeYdK6yT_KmVx7AEjsACxwdTBOHiYP6XzbC_7eVa_9Okz8yyNW6mPxhaHG6t_0C9U1seU1gWLs_rwunCc_1FJtDQOI1KpcOzw%3D%3D_V2&loc=IL&title=Junior+SOC+Design+Verification+Engineer
EXCERPT: Junior SOC Design Verification Engineer, Google Cloud Tel Aviv, Israel; +1 more Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a Junior SoC Design Verification Engineer, you will develop and execute efficient verification strategies ranging from planning and constrained random testing to debugging and closure while collaborating with engineers to validate digital designs across the life-cycle. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Plan verification of digital design blocks by understanding specifications and collaborating with design engineers to identify key scenarios. Develop and refine constrained-random verification environments using SystemVerilog and Universal Verification Methodology (UVM) or formally verify designs using SVA and formal tools. Identify and define all relevant coverage measures to address design corner-cases. Debug tests with design engineers to ensure functionally correct design blocks. Close coverage gaps to identify verification holes and demonstrate progress towards tape-out. Minimum qualifications: Bachelor's
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TITLE: Scientist – Protein Engineering – Organic Chemist: ADC Research & Development
EMPLOYER: Amgen
LOCATION: US - California - Thousand Oaks (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Scientist---Protein-Engineering---Organic-Chemist--ADC-Research---Development_R-244402
EXCERPT: Scientist – Protein Engineering – Organic Chemist: ADC Research & Development US - California - Thousand Oaks posted: Posted 24 Days Ago
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TITLE: Sr. Data Scientist – Computational Drug Discovery
EMPLOYER: Amgen
LOCATION: Canada - Burnaby (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/Canada---Burnaby/Sr-Data-Scientist---Computational-Drug-Discovery_R-244739-1
EXCERPT: Sr. Data Scientist – Computational Drug Discovery Canada - Burnaby posted: Posted 23 Days Ago
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TITLE: Data Scientist, SPX AI Lab, SPX Science
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-03-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3201258/data-scientist-spx-ai-lab-spx-science
EXCERPT: Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, product managers and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities -- Respond to Seller feedback and implement fix in Gen AI solution to enhance Seller experience -- Drive deep-dive analytical studies to understand seller pain points, evaluate feature performance, and identify opportunities to improve the Selling Partner experience. -- Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi-experiments, and observational causal methods (e.g., diff-in-diff, synthetic control, propensity score methods). -- Develop scalable analytical pipelines for impact measurement, KPI development, metric integrity validation, and long-term business monitoring. -- Apply NLP and statistical modeling techniques-including topic modeling, clustering, semantic similarity, and classification-to uncover insights from unstructured seller interactions, feedback, and content. -- Partner with scientists, engineers, economists, and
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TITLE: Principal Research Scientist II, Lipid Chemistry
EMPLOYER: AbbVie Inc.
LOCATION: San Diego, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013045116-principal-research-scientist-ii-lipid-chemistry
EXCERPT: Principal Research Scientist II, Lipid Chemistry San Diego, 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: We seek a Principal Scientist II, Lipid Chemistry to join an experienced, fast-paced and collaborative team focused on developing lipid nanoparticle delivered mRNA medicine. This position will lead the design and synthesis of novel lipids including but not limited to ionizable lipids and other proprietary delivery chemistries. The ideal candidate brings strong instincts in advanced organic synthesis, route planning, and reaction optimization, with the creativity and rigor to generate high-quality analog series. Success in this chemistry focused role depends on the ability to independently conceive, synthesize, purify, and characterize compounds, then use data to iterate rapidly toward improved molecules. Responsibilities & Duties: Lead and optimize novel lipid designs and chemistries from diverse structural families for LNP platform technology development Plan and execute efficient synthetic routes for target molecules and close analogs. Optimize reactions, troubleshoot challenging transformations, and solve synthetic bottlenecks. Design multistep routes of synthesis and purification for scalability and purity in keeping with project goals and
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TITLE: Senior Scientist - Computational Systems & Predictive Biology
EMPLOYER: Amgen
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Systems---Predictive-Biology_R-241076
EXCERPT: Senior Scientist - Computational Systems & Predictive Biology 2 Locations posted: Posted 30+ Days Ago
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TITLE: Senior Scientist II Medicinal Chemistry, Oncology
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: $148K-$202K
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013571726-senior-scientist-ii-medicinal-chemistry-oncology
EXCERPT: Senior Scientist II Medicinal Chemistry, Oncology North Chicago, IL, United States Company Description: 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 - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Key Responsibilities Conduct research in a large, multi-functional medicinal chemistry organization. As part of a project team, devise & execute synthetic routes to generate potential drug targets. Learn to use institutional software & tools to enable & accelerate design of new drug targets. Conceive & execute hypothesis-driven medicinal chemistry projects to optimize safety, ADME, & efficacy. Optimize routes to scale-up materials for key in vivo studies. Apply novel synthetic methodologies to access challenging targets. Analyze products using NMR, HPLC, LCMS, SFC, & other analytical tools to characterize reaction yields, product purity, & enantiomeric excess. Analyze & interpret in vitro & in vivo data from preclinical studies to inform design of next generation potential drug targets. Create scientific presentations & manuscripts for effective communication with internal stakeholders & international chemistry community. Qualifications: Education & Experience Must have a PhD in Organic Chemistry or other related scientific field & 2 years of academic or
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TITLE: Scientist l, QTAS & ADME Sciences
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013532541-scientist-l-qtas-adme-sciences
EXCERPT: Scientist l, QTAS & ADME Sciences 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 Quantitative, Translational and ADME Sciences Department at AbbVie, Inc. in North Chicago, IL is seeking a scientist to conduct routine and non-routine, in vitro enzyme-catalyzed drug metabolism screening assays. Guided and mentored by senior staff, the scientist will be expected to conduct detailed high-quality assays, including custom assays to answer specific drug metabolism questions, in a time-sensitive environment. Over time, the individual will build understanding to propose follow up experiments and as well as effectively communicate results to stakeholders. Familiarity with enzymology, hepatocyte biology and quantitative analyses is desired. Key Responsibilities: Independently perform routine and non-routine drug metabolism assays to generate precise, timely, high-quality data. Collaborate with department team members including Bioanalytical counterparts to ensure seamless and timely execution of studies. Learn drug metabolism assays including but not limited to microsomal and hepatocyte stability, clearance and enzyme Inhibition. Interact with scientists at all levels and effectively communicate results. Qualifications: Bachelor's Degree or equivalent education with typically
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TITLE: Principal Applied Scientist, ML Codesign
EMPLOYER: Amazon
LOCATION: Sunnyvale, California, USA (unspecified)
SALARY: $229K-$309K
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10444930/principal-applied-scientist-ml-codesign
EXCERPT: Principal Applied Scientist, ML Codesign Sunnyvale, California, USA Define the joint optimization of model compression and silicon architecture for Amazon's next generation of edge and cloud inference accelerators. Your work will set the technical targets that propagate across the model, compiler, runtime, and silicon stack. We are hiring a Principal Applied Scientist to be the technical leader who closes the loop between compression science and silicon design. Today's generation ships advanced quantization and large-model distillation in production, running multi-billion parameter language models at inference economics typical of much larger systems. Future generations target significantly larger models at the edge and in the cloud. You will be a principal architect of the next-generation accelerator and of the compression algorithms it executes natively. Few roles in the industry let one technical leader influence the model, the compiler, the runtime, and the silicon without organizational friction. This is one of them. You have spent the last several years thinking about why hardware decisions and accuracy decisions live in different teams, and you want to be the person who owns both. You have published at MLSys, ISCA, MICRO, NeurIPS, or ICML on quantization, pruning, or hardware-aware training, and you want your next paper to ship in a chip rather than in a benchmark suite. You want a vertical stack-model, compression, compiler, runtime, operating system, silicon-where the same engineering organization owns every layer and a principal architect can move all of them. Key job responsibilities • Define the hardware-aware compression roadmap for next-generation accelerators, working
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TITLE: Senior Software Engineer, Eye Tracking, Core
EMPLOYER: Google
LOCATION: San Jose, CA, USA (unspecified)
SALARY: $174K-$253K
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckYRTs-wgynUhTyFIQApHn1UyuFUg1eHTXlNxfIVN0KKNEjsACxwdTChWFZs-jvzJu0jG-v9KONq0xMr9WhTQApjWaDGlZMuKe2wxYVgHcHV7-YsDPJzzaBKFv0gBGw%3D%3D_V2&loc=US&title=Senior+Software+Engineer
EXCERPT: Senior Software Engineer, Eye Tracking, Core San Jose, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will develop sensing algorithms to understand the real-world scene within an AR/VR context, optimized for compute-constrained devices. We are looking for a software engineer who can work in the intersection of computer science, computer vision and human vision. You will be expected to design and implement state-of-the art computational eye models that deliver system performance targets, by leveraging scientific knowledge from human vision literature and data statistics. You will work across different engineering teams, including ML/perception, synthetics, human vision, etc. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well
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TITLE: Data Scientist, Labs, SCOT Forecasting and Labs
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-04-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10402213/data-scientist-labs-scot-forecasting-and-labs
EXCERPT: Data Scientist, Labs, SCOT Forecasting and Labs Bellevue, Washington, USA At Amazon, our SCOT Labs team owns and operates the experimentation platform that powers randomized controlled trials (RCTs) across Supply Chain Optimization Technologies (SCOT). We are the scientific gatekeepers for policy updates that govern how Amazon buys, stores, and moves billions of units of inventory worldwide. This is not traditional A/B testing: we are building the infrastructure and methodology to causally evaluate complex and interconnected supply chain interventions. Our platform runs experiments that span millions of products and hundreds of fulfillment nodes simultaneously, measuring the real-world impact of policy changes on inventory health, customer experience, and operational cost. We are also advancing the science of causal inference in supply chain settings by developing novel approaches to treatment effect estimation, interference modeling, and emulation techniques that allow us to assess policy impact faster and more accurately than ever before. The experiments you design and the methods you build here will directly determine which policies ship to production. These decisions influence hundreds of millions of dollars in weekly inventory investments, labor allocation for tens of thousands of associates, and Amazon's overall supply chain efficiency. Beyond operational impact, this team pushes the frontier of causal experimentation methodology and contributes to the broader scientific community with publications at top venues. If you are a scientist who wants to shape how one of the world's largest supply chains makes decisions - solving causal inference challenges in real-world settings no academic lab or startup can replicate
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TITLE: Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team
EMPLOYER: Amazon
LOCATION: Dublin, IRL (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436869/sr-quality-assurance-engineer-european-language-expert-alexa-global-quality-team
EXCERPT: Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team Dublin, IRL **This role requires fluency (speaking, reading, and writing) in one or more European languages - French, German, Dutch, Polish, Turkish, or Portuguese - as you'll drive quality across Alexa+'s multilingual experience in 100+ countries.** Come join us to launch Alexa+ globally to millions of customers across 100+ countries, solving hard challenges in multilingual, conversational CX evaluation across multimodal experiences spanning text, voice, and visual across many device surfaces. We are solving hard challenges in validation across speech, visual, conversational quality, locale cultural, and linguistic dimensions -building agentic automation tooling that spans the full quality spectrum from synthetic test generation, to LLM-as-a-Judge evaluation, to visual validation using AI, to cultural relevancy classification powered by machine learning. As a Sr. Quality Assurance Engineer in the Alexa Global Quality (AGQ) team, you will own the end-to-end quality of Alexa+ ensuring millions of customers receive a culturally relevant, high-quality experience spanning voice, text, and visual modalities. You'll tackle complex challenges in multilingual conversational CX evaluation - building agentic automation tooling that spans the full quality spectrum from synthetic test generation, to LLM-as-a-Judge evaluation, to visual validation using AI, to cultural relevancy classification powered by machine learning. Our team focuses on expanding Alexa+ globally while maintaining the cultural and linguistic nuances that matter to our diverse customer base. You'll define global test strategies, architect AI-powered evaluation frameworks, and shape how quality is measured across multiple features, endpoints, and languages. Key job responsibilities You
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TITLE: Senior Scientist - PKDM, Modeling and Simulation
EMPLOYER: Amgen
LOCATION: US - California - South San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Principal-Scientist---PKDM--Modeling-and-Simulation_R-245403
EXCERPT: Senior Scientist - PKDM, Modeling and Simulation US - California - South San Francisco posted: Posted 9 Days Ago
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TITLE: Software Engineer III, Database Systems
EMPLOYER: Google
LOCATION: Zürich, Switzerland (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckfvmoN0vStqApsEGU0H4RmVwDKK9jLyBbDkqI4J2-LLtEjsACxwdTFCAQKqBWqyItvkIAEhitMWBwCTN3cgpoY5SWVvoXoD_sLO-tNVJfTAVg5AFwBUoaxW2LAcApQ%3D%3D_V2&loc=CH&title=Software+Engineer+III
EXCERPT: Software Engineer III, Database Systems Zürich, Switzerland Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Android XR Data Generation team's mission within the Syntec organization is to establish a comprehensive data ecosystem that integrates real data collection, synthetic data, GenAI data, and AI-driven annotation to fuel XR AI training. The team is unifying fractured XR data infrastructure into a cohesive end-to-end ecosystem across back-end storage, device ingest, frontend interfaces, and semantic search. The team works on technology to capture and reconstruct real data , and builds the infrastructure to generate synthetic data at scale to support critical XR platforms like AI Glasses. Joining this team offers the exciting opportunity to design, implement, and maintain massive data generation pipelines, integrate
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TITLE: Senior Scientist - Computational Protein Design
EMPLOYER: Amgen
LOCATION: US - California - South San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---South-San-Francisco/Senior-Scientist---Computational-Protein-Design_R-244307
EXCERPT: Senior Scientist - Computational Protein Design US - California - South San Francisco posted: Posted 30+ Days Ago
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TITLE: Applied Scientist, Amazon Compliance and Safety Services
EMPLOYER: Amazon
LOCATION: Bucharest, ROU (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-15
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10392694/applied-scientist-amazon-compliance-and-safety-services
EXCERPT: Applied Scientist, Amazon Compliance and Safety Services Bucharest, ROU Amazon's Compliance and Safety Services (CoSS) Team is looking for a smart and creative Applied Scientist to apply and extend state-of-the-art research in NLP, multi-modal modeling, domain adaptation, continuous learning and large language model to join the Applied Science team. At Amazon, we are working to be the most customer-centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product compliance and safety around the globe in order to achieve best-in-class, company-wide standards around product assurance. You will research on large amounts of tabular, textual, and product image data from product detail pages, selling partner details and customer feedback, evaluate state-of-the-art algorithms and frameworks, and develop new algorithms to improve safety and compliance mechanisms. You will partner with engineers, technical program managers and product managers to design new ML solutions implemented across the entire Amazon product catalog. Key job responsibilities As an Applied Scientist on our team, you will: - Research and Evaluate state-of-the-art algorithms in NLP, multi-modal modeling, domain adaptation, continuous learning and large language model. - Design new algorithms that improve on the state-of-the-art to drive business impact, such as synthetic data generation, active learning, grounding LLMs for business use cases - Design and plan collection of new labels and audit mechanisms to develop better approaches that will further improve product assurance and customer trust. - Analyze
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TITLE: Senior Principal Research Scientist Engineering
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990012996791-senior-principal-research-scientist-engineering
EXCERPT: Senior Principal Research Scientist Engineering 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. R&D Process Engineering Organization, a part of AbbVie's Development Sciences organization, is responsible for designing and developing scalable processes to make drug substances and drug products, including synthetics molecules, antibody drug conjugates (ADCs) and genetic medicines, throughout pre-clinical and clinical development stages. Process Engineering also partners with Biologics CMC (Chemistry, Manufacturing, and Controls) Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins and cosmetic active ingredients (CAIs). It drives the development of innovative engineering technologies and creates valuable intellectual property through the composition of matter and chemical/bio-chemical processes resulting in cost-effective commercial manufacturing processes for quality products. Process Engineering organization also supports the scale-up in the pilot plants and supply chain development for pipeline molecules and supports the justification of CMC regulatory content. Job Description: Role Overview The successful Process Engineering candidate will play a key technical team leader role in the R&D
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TITLE: Cryptologic Computer Scientist
EMPLOYER: Leidos
LOCATION: 3325 Fort George G. Meade MD (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/3325-Fort-George-G-Meade-MD/Cryptologic-Computer-Scientist_R-00177073-1
EXCERPT: Cryptologic Computer Scientist 3325 Fort George G. Meade MD posted: Posted 30+ Days Ago
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TITLE: Applied Science Operations Lead , Fauna
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $198K-$268K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10445485/applied-science-operations-lead-fauna
EXCERPT: Applied Science Operations Lead , Fauna New York, New York, USA We are seeking an Applied Science Operations Lead to serve as a strategic partner to the Director of Applied Science. This is a high-agency role at the intersection of science strategy and operational excellence. You will shape how our Applied Science organization structures its research portfolio, allocates resources across workstreams, and delivers on its most ambitious goals. This is not a coordination role. You will independently identify the highest-leverage problems facing the science organization, develop frameworks for solving them, and drive outcomes. You will co-author the science strategy, build the operational rhythms that keep the organization focused, and represent Applied Science to cross-functional partners. The right candidate brings deep scientific fluency, strong judgment about where to invest, and the operational instincts to turn strategy into execution. Key job responsibilities - Structure and manage the Applied Science portfolio - ensure workstreams are well-defined, resourced, and progressing. Identify gaps, redundancies, and reallocation opportunities across the research agenda. - Serve as a thought partner to the Director of Applied Science on research direction, hiring priorities, investment tradeoffs, and organizational design. - Author key documents - science strategy narratives, investment cases, org-level roadmaps, and leadership updates. These are persuasive artifacts that shape decisions, not status reports. - Design and own the cadences that keep the science org aligned - planning cycles, review forums, cross-team syncs. Own the structure, not just the logistics. - Act as the primary interface between Applied Science and partner
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TITLE: Scientist – Digital Discovery: Biological Data Systems & Machine Learning
EMPLOYER: Amgen
LOCATION: Canada - Burnaby (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/Canada---Burnaby/Scientist---Digital-Discovery--Biological-Data-Systems---Machine-Learning_R-243572-1
EXCERPT: Scientist – Digital Discovery: Biological Data Systems & Machine Learning Canada - Burnaby posted: Posted 30+ Days Ago
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TITLE: Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science (M/F/D)
EMPLOYER: Baker Hughes
LOCATION: IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-Engineer--Disciplinary-Engineering-and-Science---Mathematics---Data-Science_R159600
EXCERPT: Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science (M/F/D) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday
---
TITLE: Sr Machine Learning Scientist
EMPLOYER: Amgen
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Machine-Learning-Scientist_R-245087
EXCERPT: Sr Machine Learning Scientist 3 Locations posted: Posted 11 Days Ago
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TITLE: Associé(e), Gestion des données cliniques – Sciences des données cliniques/ Associate Data Manager, Clinical Data Sciences
EMPLOYER: Pfizer
LOCATION: Canada - Quebec - Kirkland (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Canada---Quebec---Kirkland/Associ-e---Gestion-des-donnes-cliniques---Sciences-des-donnes-cliniques--Associate-Data-Manager--Clinical-Data-Sciences_4959242
EXCERPT: Associé(e), Gestion des données cliniques – Sciences des données cliniques/ Associate Data Manager, Clinical Data Sciences Canada - Quebec - Kirkland posted: Posted Today
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TITLE: Senior Research Engineer, Generative Prototyping
EMPLOYER: Adobe Inc.
LOCATION: 5 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Senior-Research-Engineer--Generative-Prototyping_R168563
EXCERPT: Senior Research Engineer, Generative Prototyping 5 Locations posted: Posted 30 Days Ago
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TITLE: Sr Data Scientist, WWSO Bedrock
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10422870/sr-data-scientist-wwso-bedrock
EXCERPT: Sr Data Scientist, WWSO Bedrock Seattle, Washington, USA Are you passionate about Generative AI? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock, customize Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam The Generative AI Worldwide Specialist team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of techniques, solutions and architectural blueprints that our customers can use to build their own enterprise-wide Generative AI and
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TITLE: Applied Science Manager, Amazon Publisher Monetization Stores
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $202K-$274K
POSTED: 2026-01-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3157704/applied-science-manager-amazon-publisher-monetization-stores
EXCERPT: Applied Science Manager, Amazon Publisher Monetization Stores New York, New York, USA The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead our Stores Supply Science team and our Stores Supply Applied Science Engineering team. In this role, you will be responsible for developing novel machine learning and optimization solutions to drive improvements in the monetization of digital content for Amazon's publishing partners. You will collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities, define technical roadmaps, and deliver innovative solutions at scale. Equally importantly you will represent APM Stores Science across the broader Ads science community (e.g. Sponsored Products, Sponsored Brands, DSP and Ads Econ) and drive collaboration and harmonization. This is an exciting opportunity to leverage your depth of applied science expertise to shape the future of Amazon's publisher monetization platform and have a significant impact on the business. Key job responsibilities * Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing your team members * Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions * Represent APM Stores Science across the broader Ads science community * Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners * Foster a culture of innovation, agility, and customer obsession within your teams A day in the life As the
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TITLE: Senior Photonics Integrated Circuit Design Engineer
EMPLOYER: Raytheon Technologies
LOCATION: US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CA-SAN-DIEGO-15110--15110-Ave-of-Science--SCIENCE-Ste-200/Senior-Photonics-Integrated-Circuit-Design-Engineer_01834081
EXCERPT: Senior Photonics Integrated Circuit Design Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago
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TITLE: Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center
EMPLOYER: Amazon
LOCATION: Seoul, KOR (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center
EXCERPT: Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them
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TITLE: Sr Assoc Scientist- Biomolecular Interactions/Kinetics
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Scientist--Biomolecular-Interactions-Kinetics_R41252
EXCERPT: Sr Assoc Scientist- Biomolecular Interactions/Kinetics TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Senior Photonics Integrated Circuit Test Engineer
EMPLOYER: Raytheon Technologies
LOCATION: US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CA-SAN-DIEGO-15110--15110-Ave-of-Science--SCIENCE-Ste-200/Senior-Photonics-Integrated-Circuit-Test-Engineer_01834086
EXCERPT: Senior Photonics Integrated Circuit Test Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago
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TITLE: Senior Applied Scientist, Neuro-Symbolic AI Labs
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-05-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10411143/senior-applied-scientist-neuro-symbolic-ai-labs
EXCERPT: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and
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TITLE: Principal Photonics Integrated Circuit Design Engineer
EMPLOYER: Raytheon Technologies
LOCATION: US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CA-SAN-DIEGO-15110--15110-Ave-of-Science--SCIENCE-Ste-200/Principal-Photonics-Integrated-Circuit-Design-Engineer_01834083
EXCERPT: Principal Photonics Integrated Circuit Design Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago
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TITLE: Principal Photonics Integrated Circuit Test Engineer
EMPLOYER: Raytheon Technologies
LOCATION: US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CA-SAN-DIEGO-15110--15110-Ave-of-Science--SCIENCE-Ste-200/Principal-Photonics-Integrated-Circuit-Test-Engineer_01834091
EXCERPT: Principal Photonics Integrated Circuit Test Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago
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TITLE: Research Software Engineer, Generative AI
EMPLOYER: Google
LOCATION: London, UK; +1 more (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-07
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FcketS25KE3Tbs4iUM3ShqUtaI0HjFSLSxP13ptlicFB5MEjsACxwdTAei1mzkYF37A2MIWKvjuEvXP97yn0ASPaK8wzPJjSjRQn3YXQlcptTtQSFmo8p-UfAQ2-Ppzg%3D%3D_V2&loc=GB&title=Research+Software+Engineer
EXCERPT: Research Software Engineer, Generative AI London, UK; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next-generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond.
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TITLE: Applied Scientist, Brand Protection Machine Learning
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10375257/applied-scientist-brand-protection-machine-learning
EXCERPT: Applied Scientist, Brand Protection Machine Learning Seattle, Washington, USA Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit https://www.amazon.science for more information. Are you an expert in Natural Language Processing (NLP), computer vision Large Language Models (LLM) and multi-modality? Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds high performance AI systems using machine learning and deep learning that identify and prevent infringement and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our AI vision for Brand Protection. As a applied scientist on the team, you will use STOA AI and ML techniques to understand and extract key information from product detail page, built automated AI solutions that thinks like human to make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions, and resourceful in finding innovative solutions to unsolved problems. You will work closely
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TITLE: Health Science 5jobs
EMPLOYER: Leidos
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.leidos.com/search/category/health-science/jobs
EXCERPT: Health Science 5jobs Location not specified
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TITLE: Directeur associé – Science de la donnée, Analytiques & IA / Associate Director – Data Science, Analytics & AI
EMPLOYER: Raytheon Technologies
LOCATION: CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/CA-QC-LONGUEUIL-J01--1000-Blvd-Marie-Victorin--J01-BLDG/Director---Data-Science--Analytics---AI_01824174-1
EXCERPT: Directeur associé – Science de la donnée, Analytiques & IA / Associate Director – Data Science, Analytics & AI CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 3 Days Ago
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TITLE: Applied Science Manager, AWS Generative AI Innovation Center
EMPLOYER: Amazon
LOCATION: Lisbon, PRT (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10421268/applied-science-manager-aws-generative-ai-innovation-center
EXCERPT: Applied Science Manager, AWS Generative AI Innovation Center Lisbon, PRT Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces- generative-ai-innovation-center). GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers' ecosystem/environment as well as directly to end customers. The candidate must ne be able to drive discussions with senior technical and management personnel within customers and partners while hacing technical background that enables them to interact with and give guidance to AI scientists/engineers and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. Key job responsibilities You will work directly with
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TITLE: Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 149K-249K
POSTED: 2026-04-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10394248/fall-2026-applied-science-internship-canada-phd-student-science-recruiting
EXCERPT: Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting Vancouver, British Columbia, CAN Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You'll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work. To ensure a great internship experience, please keep these things in mind. This is a
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TITLE: Applied Scientist, Agentic Automated Reasoning
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433445/applied-scientist-agentic-automated-reasoning
EXCERPT: Applied Scientist, Agentic Automated Reasoning London, England, GBR The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking an applied scientist with broad interest and expertise in model checking, interactive theorem proving, programming language semantics, and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - Work with customer teams to understand the nature of their software and the properties they need to establish of it. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use techniques spanning property-based testing to model checkers, and
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TITLE: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $183K-$248K
POSTED: 2026-03-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3193440/sr-soc-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
EXCERPT: Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have
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TITLE: Director - Applied Science, Amazon Connect
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $262K-$350K
POSTED: 2025-05-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/2972323/director-applied-science-amazon-connect
EXCERPT: Director - Applied Science, Amazon Connect Seattle, Washington, USA The Amazon Connect Interactive AI and Engagement organization was formed in April 2025 to bring together Contact Lens, Q in Connect, and Flows/Lex into one organization, responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. We are reimagining customer engagement to enable companies to deliver proactive and personalized experiences (in websites, mobile apps, and traditional contact center channels including voice, messaging, and email) that discern and resolve end-customers' intent before problems ever arise. To succeed, we need a unified science strategy and approach to power 'AI-throughout' customer experiences that leverage humans in the loop when required to meet business goals. We seek to hire a Director of Applied Science who will define and execute that strategy, and organization required. This leader will push the technical boundaries in generative AI science, shaping the industry, while influencing and leading key product investments across Connect service teams and leadership. The business opportunity is substantial. We are executing to be the leader irrespective of the ultimate balance between proactive end-customer self-service and agent-assisted workloads. To do so, science innovation will be pivotal to help achieve our ambitious goals, differentiating Amazon Connect from our competitors. Key job responsibilities The Director of Applied Science will lead us to propose and deliver an organizational plan that is aligned to a unified science strategy. This science strategy will enable data-driven, AI-powered continuous optimization across self-service, agent assistance, and manager assistance workloads. This leader
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TITLE: Manager, Data Science, WAVE Science
EMPLOYER: Amazon
LOCATION: Luxembourg, LUX (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10445021/manager-data-science-wave-science
EXCERPT: Manager, Data Science, WAVE Science Luxembourg, LUX Are you passionate about solving complex classification challenges at massive scale? We are seeking a Data Science Manager to join our ASIN Classification team within WAVE (World Wide AI Enablement). In this high-impact role, you will lead a team of scientists and engineers to architect, deploy, and operationalize advanced machine learning models that drive ASIN classification across a range of compliance programs. From supervised and unsupervised ML approaches to Large Language Models and Small Language Models, you will guide your team in harnessing state-of-the-art techniques to deliver accurate, scalable classification solutions for millions of ASINs. Key job responsibilities • Lead and manage a team of Applied Scientists, Data Scientists, and Engineers, fostering a culture of innovation, scientific rigor, and operational excellence • Define the team's science roadmap and prioritize classification initiatives across compliance programs • Own end-to-end delivery of classification solutions from problem framing and data strategy through model deployment and production monitoring • Drive architecture decisions including model selection, feature engineering from product catalogs, and evaluation metric frameworks • Translate ambiguous, large-scale compliance challenges into well-scoped data science and ML workstreams • Collaborate with business teams to convert business requirements into scalable ML solutions • Establish and monitor classification metrics, model performance KPIs, and production health dashboards to ensure continuous improvement • Partner cross-functionally with Science, Engineering, Product, and Operations teams to align science investments with business priorities • Build scalable data environments and ML pipelines to support model training, evaluation, shadow
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TITLE: Associate Scientist
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Associate-Scientist_R47982
EXCERPT: Associate Scientist TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Technical Program Manager, Science Automation, DeepMind
EMPLOYER: DeepMind
LOCATION: London, UK (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb55scn_6w2KwSNZHVb2rwOYtwNwiVv43yRG13fN5eflEjsACxwdTOmxwKqZdgerlOXiprRIglFm3_k5sx0gxhrFZ1Ln-fpL6RQCIek-rBI_qKGwF1WqrIqZJlO_lw%3D%3D_V2&loc=GB&title=Technical+Program+Manager
EXCERPT: Technical Program Manager, Science Automation, DeepMind London, UK At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind's Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals. Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with
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TITLE: Postdoctoral Fellow-Discovery Proteomics
EMPLOYER: Amgen
LOCATION: US - California - Thousand Oaks (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---California---Thousand-Oaks/Postdoctoral-Fellow-Discovery-Proteomics_R-246859
EXCERPT: Postdoctoral Fellow-Discovery Proteomics US - California - Thousand Oaks posted: Posted 3 Days Ago
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TITLE: Senior Scientist l, QTAS & ADME Sciences
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013532536-senior-scientist-l-qtas-adme-sciences
EXCERPT: Senior Scientist l, QTAS & ADME Sciences 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: AbbVie is seeking a highly motivated and experienced scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in North Chicago. The ideal candidate will have a strong background and expertise with in vitro models, drug metabolizing enzyme function, drug-drug interaction concepts, quantitative bioanalysis and ability to spot, ideate and drive cutting-edge science. Applicants having experience in an adjacent area, such as drug permeability and transport, receptor pharmacology and pharmacokinetic modeling is desirable. In this exciting role, you will be expected to participate in implementing innovative and quantitative approaches to advance translational ADME using conventional as well as more complex in vitro models. Working primarily in a laboratory, the position will involve the conduct and contribution to scientific leadership of in vitro assays as well as applying translational modeling concepts to help drive the global in vitro ADME strategy at AbbVie. The candidate will be expected to qualify, confirm and evaluate new technologies as well
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TITLE: Applied Scientist, JST Science
EMPLOYER: Amazon
LOCATION: Tokyo, JPN (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10399253/applied-scientist-jst-science
EXCERPT: Applied Scientist, JST Science Tokyo, JPN Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times. Key job responsibilities * Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers' needs and benefits at the project level. * Analyze data and identify the gaps in existing solutions, and propose innovative science solutions. * Contribute to research papers that are published at peer-reviewed internal and/or external venues, and contribute to the wider scientific community. * Working with teams worldwide on global projects. Basic Qualifications: - PhD, or Master's degree and 3+ years of CS, CE, ML
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TITLE: Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-19
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10423332/applied-scientist-materials-characterization-and-simulations-amazon-center-for-quantum-computing
EXCERPT: Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on understanding and mitigating materials-driven loss mechanisms in superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have deep expertise in materials characterization and computational modeling of disordered solids, with the ability to connect atomic-scale insights to materials design. Candidates with a track record of original scientific contributions in experimental and computational studies of materials defects will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials research from characterization through design recommendations and stay abreast of advances in materials science for superconducting quantum hardware. Key job responsibilities You will combine materials characterization and numerical simulations to investigate how material defects affect qubit performance. This includes implementing multi-technique characterization workflows for thin films and interfaces, providing input on the design of materials with targeted properties, and developing computational tools for simulations of disordered structures. You will provide characterization support for the Fabrication team, investigating materials sources of loss in production-relevant films and processes. You will coordinate with cross-functional teams to translate materials insights into actionable
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TITLE: Applied Science Manager, Ads Measurement Science
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $211K-$286K
POSTED: 2026-04-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10399662/applied-science-manager-ads-measurement-science
EXCERPT: Applied Science Manager, Ads Measurement Science New York, New York, USA The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Science Manager on the team, you will lead a team of scientists to define and execute a transformative vision for holistic measurement and reporting insights for ad effectiveness. Your team will own the science solutions for foundational experimentation platforms, foundational customer journey understanding technologies, state of the art attribution algorithms to measure the role of advertising in driving observed retail outcomes, and/or agentic AI solutions that help advertisers get quick access to custom insights that inform how to get the most out of their ad spend. Key job responsibilities You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team. You have a broad understanding of scientific techniques, several of which may fall out of your specific job function. You define the strategic vision for your team. You establish a
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TITLE: Sr. Applied Science Manager, Stores Economics and Sciences
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $219K-$296K
POSTED: 2026-03-17
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3206829/sr-applied-science-manager-stores-economics-and-sciences
EXCERPT: Sr. Applied Science Manager, Stores Economics and Sciences Seattle, Washington, USA The Stores Economics and Science (SEAS) team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon's network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. We are looking for an outstanding science manager who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. Basic Qualifications: - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a
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TITLE: Senior Scientist - Bioinformatics
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Senior-Scientist---Bioinformatics_R47854
EXCERPT: Senior Scientist - Bioinformatics TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS
EMPLOYER: Amazon
LOCATION: Cupertino, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-03-27
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10378119/pre-silicon-soc-modeling-engineer-annapurna-labs-machine-learning-accelerators-aws
EXCERPT: Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Cupertino, California, USA AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production. What you'll do: - Build and own models of SoC subsystems - translating architecture specs and RTL behavior into accurate, testable C++ models - Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows - Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing - Contribute to performance modeling efforts - building cycle-approximate models that help architects evaluate design trade-offs before RTL exists - Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams - Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability Why this role is interesting: - Your models are used to verify silicon before it's built - bugs you catch save months of schedule and millions of dollars - You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected - As the team scales, there's a clear path into architectural modeling - using
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TITLE: Data Science Analyst
EMPLOYER: The Cigna Group
LOCATION: Bengaluru, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Bengaluru-India/Data-Science-Analyst_26007306-1
EXCERPT: Data Science Analyst Bengaluru, India posted: Posted Yesterday
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TITLE: Research Scientist, Optical Engineering Neutral Atoms, Quantum AI
EMPLOYER: Google
LOCATION: Boulder, CO, USA (unspecified)
SALARY: $174K-$253K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb8WUk_9_cdOq29auaH_RH77v6lIgHtOf91PRQSQm90DEjsACxwdTGl6AnFxKcwvwMVdCMDpdIBLvRr9tYxUudg2AZ2ZXQQfpXxCcPb1Kkk-j8Fq4iIP-n78HSC6IQ%3D%3D_V2&loc=US&title=Research+Scientist
EXCERPT: Research Scientist, Optical Engineering Neutral Atoms, Quantum AI Boulder, CO, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques
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TITLE: Data Science Internship
EMPLOYER: The Procter & Gamble Company
LOCATION: Brussels (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://pg.wd5.myworkdayjobs.com/1000/job/Brussels/Data-Science-Internship_R000145698
EXCERPT: Data Science Internship Brussels posted: Posted 30+ Days Ago
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TITLE: Sr. Quality Control Scientist
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: RENSSELAER (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/RENSSELAER/Sr-Quality-Control-Scientist_R46048
EXCERPT: Sr. Quality Control Scientist RENSSELAER posted: Posted 30+ Days Ago
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TITLE: Safety Sciences Lead
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Safety-Sciences-Lead_R-206033
EXCERPT: Safety Sciences Lead India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Research Scientist, Neutral Atoms, Quantum AI
EMPLOYER: Google
LOCATION: Boulder, CO, USA (unspecified)
SALARY: $147K-$211K
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckRCEA5LpirV5PEzILs_ZKnhCn5YtHjbJusEv32I5lRzXEjsACxwdTL9-H6p7qU8fjLptsmR-zuxHdCbInsXk3rjZhUypGz-Pwi3yubGKH714itiMkBLSRqb6n5_gWA%3D%3D_V2&loc=US&title=Research+Scientist
EXCERPT: Research Scientist, Neutral Atoms, Quantum AI Boulder, CO, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a Research Scientist, you will be joining a team building a fault-tolerant quantum computer based on neutral atoms. You will be involved in research and development to advance the neutral atom quantum platform, translating theoretical concepts into practical experimental setups.The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is
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TITLE: Director Data Science
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Director-Data-Science_R-240318
EXCERPT: Director Data Science India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Software Engineer/Data Science Librarian
EMPLOYER: Leidos
LOCATION: Arnold, MO (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Arnold-MO/Software-Engineer-Data-Science-Librarian_R-00184468
EXCERPT: Software Engineer/Data Science Librarian Arnold, MO posted: Posted Yesterday
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TITLE: Quantum Information Research Scientist
EMPLOYER: Leidos
LOCATION: Lawton, OK (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 4 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 4 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://leidos.wd5.myworkdayjobs.com/External/job/Lawton-OK/Quantum-Information-Research-Scientist_R-00184282
EXCERPT: Quantum Information Research Scientist Lawton, OK posted: Posted 15 Days Ago
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TITLE: Economist, PXT Central Science
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2025-11-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3128331/economist-pxt-central-science
EXCERPT: Economist, PXT Central Science Seattle, Washington, USA The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for economists who are able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the data analysis, modeling, and experimentation that is necessary for
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TITLE: Scientist – Research Computational Biology (ARIA)
EMPLOYER: Amgen
LOCATION: India - Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Scientist---Research-Computational-Biology--ARIA-_R-226936
EXCERPT: Scientist – Research Computational Biology (ARIA) India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Director, Applied Science, Stores Economics and Science
EMPLOYER: Amazon
LOCATION: Mountain View, California, USA (unspecified)
SALARY: $298K-$350K
POSTED: 2025-09-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3094532/director-applied-science-stores-economics-and-science
EXCERPT: Director, Applied Science, Stores Economics and Science Mountain View, California, USA We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. About the team The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon's network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the
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TITLE: Sr Scientist, Biologics Characterization
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Sr-Scientist_R45916-1
EXCERPT: Sr Scientist, Biologics Characterization TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Postdoctoral Scientist, Amazon Robotics Research and AI Development
EMPLOYER: Amazon
LOCATION: North Reading, Massachusetts, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3117815/postdoctoral-scientist-amazon-robotics-research-and-ai-development
EXCERPT: Postdoctoral Scientist, Amazon Robotics Research and AI Development North Reading, Massachusetts, USA Amazon is looking for talented Postdoctoral Scientists to join the Research and AI Development team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will innovate in the areas of multi-agent path planning, dynamic optimal transport (OT), and explainable AI (X-AI) for DeepFleet Foundation Models. They will have the opportunity to develop optimal and scalable solutions for the world's largest fleet of mobile robots, in addition to developing interpretability techniques for the DeepFleet FMs. At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, and probabilistic modeling at scale to enhance customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent new techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. Key job responsibilities In this role you will: -Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's diverse global science community. -Publish your innovation in top-tier academic venues and hone your presentation skills. -Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise. A day in the life On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists
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TITLE: Data Science Senior Analyst
EMPLOYER: The Cigna Group
LOCATION: Bengaluru, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Bengaluru-India/Data-Science-Senior-Analyst_26007307-1
EXCERPT: Data Science Senior Analyst Bengaluru, India posted: Posted Yesterday
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TITLE: Research Engineer, Embodied Agents, DeepMind
EMPLOYER: DeepMind
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $174K-$253K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckV5eGgn7jmy9wF3j8ZBhhCIYOK8Foz8ErJ3TkQrj0BLzEjsACxwdTFCeBuJrRI3HjhTRT-jEtqhIZiKVcVSz3TvpuFXUNted86EW2DsxnzMQq4j6plYrdVA3OcI-2A%3D%3D_V2&loc=US&title=Research+Engineer
EXCERPT: Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help
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TITLE: Data Science Engineer 3
EMPLOYER: Adobe Inc.
LOCATION: Noida (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Data-Science-Engineer-3_R168516
EXCERPT: Data Science Engineer 3 Noida posted: Posted 21 Days Ago
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TITLE: Associate Scientist
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Associate-Scientist_R47270
EXCERPT: Associate Scientist TARRYTOWN posted: Posted Yesterday
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