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: Roivant 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):

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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
---
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
---
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
---
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
---
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: 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
---
TITLE: Principal Research Scientist, 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/3743990013523471-principal-research-scientist-qtas-adme-sciences
EXCERPT: Principal Research Scientist, 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 in drug metabolizing enzyme function, drug-drug interaction concepts, quantitative bioanalysis, ability to drive cutting-edge science and lead a team of junior scientists. 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 in a laboratory and non-laboratory setting, the position will involve the conduct and 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 implement and/or evaluate new technologies and approaches to
---
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
---
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
---
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
---
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: 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: Sr. Applied Scientist, PXT Central Science
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-03-30
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/10379355/sr-applied-scientist-pxt-central-science
EXCERPT: Sr. Applied Scientist, PXT Central Science Bellevue, Washington, USA Every day, hundreds of thousands of Amazon associates show up to fulfill the promise we make to our customers. Behind the workforce decisions that support them - staffing, retention, scheduling, development - there should be science that doesn't just describe what happened, but explains why it happened and predicts what comes next. That's the work we do. PXT Central Science (PXTCS) is Amazon's internal research organization dedicated to bringing scientific rigor to people and workforce decisions at global scale. Our team sits within the part of PXTCS that focuses on Amazon's Tier 1 hourly populations - the associates at the heart of Amazon's operations. We are a multidisciplinary group of 15 economists, data scientists, data engineers, and research scientists united by a single mission: to transform complex operational challenges into actionable insights through rigorous causal analysis and predictive modeling that empowers data-driven workforce decisions. We are building something new - causal predictive models that go beyond traditional forecasting. Our models don't just tell leaders what will happen; they reveal why it will happen and what levers they can pull to change the outcome. This is the frontier where causal inference meets modern machine learning, and we need a scientist who can help us push it forward. As a Senior Applied Scientist on this team, you will be the connective tissue between innovative research and real-world impact. You will work shoulder-to-shoulder with economists who deeply understand the causal mechanisms driving workforce dynamics
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TITLE: Senior Applied Scientist, AWS Central Economics and Science
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $192K-$260K
POSTED: 2026-04-06
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/10384092/senior-applied-scientist-aws-central-economics-and-science
EXCERPT: Senior Applied Scientist, AWS Central Economics and Science San Francisco, California, USA AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion. Key job responsibilities • Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions • Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems • Stakeholder Collaboration: Work with business stakeholders to understand requirements,
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TITLE: Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 149K-249K
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)
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/10399939/applied-scientist-measurement-ad-tech-and-data-science-mads
EXCERPT: Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) Toronto, Ontario, CAN The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. The Media Planning Science team develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes. As an Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities * Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problems * Disambiguate problems to propose clear evaluation frameworks and success criteria * Work autonomously and write high quality technical documents * Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions
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TITLE: Senior Applied Scientist, Ad Measurements Science
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $184K-$249K
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/10437288/senior-applied-scientist-ad-measurements-science
EXCERPT: Senior Applied Scientist, Ad Measurements Science New York, New York, USA The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team 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 advertiser's 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 also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. 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 a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics. Key job responsibilities * Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies. * Collaborate closely with cross-functional teams including engineering,
---
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
---
TITLE: Applied Scientist, AWS Central Economics and Science
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $172K-$222K
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://www.amazon.jobs/en/jobs/10446837/applied-scientist-aws-central-economics-and-science
EXCERPT: Applied Scientist, AWS Central Economics and Science San Francisco, California, USA AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion. Key job responsibilities • Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions • Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems • Stakeholder Collaboration: Work with business stakeholders to understand requirements, validate
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TITLE: Senior Data Scientist
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000126405240-senior-data-scientist
EXCERPT: Senior Data Scientist Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. Ion's Data team is responsible for developing analytical tools that generate insights and drive decision making for internal and external stakeholders. The successful candidate in this role will be a contributor to a high-performing data science team to develop data models, analytics, and related applications. Essential Job Duties (Specific responsibilities and tasks an individual
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TITLE: Applied Scientist II, Strategic Account Services (SAS)
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-27
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)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3115728/applied-scientist-ii-strategic-account-services-sas
EXCERPT: Applied Scientist II, Strategic Account Services (SAS) London, England, GBR Amazon Strategic Account Services (SAS) Tech Organization is looking for an Applied Scientist Applied Scientist who can autonomously drive scientific innovations from research to production, developing sophisticated AI solutions that serve both Amazon's global seller base and internal Marketplace Consultants. Working in a highly collaborative environment, you'll leverage expertise in machine learning, operations research, and statistics to translate theoretical advances in LLMs, probabilistic modeling, and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement, bridging cutting models with real-world applications while maintaining scientific rigor and measurable business impact. Key job responsibilities - Lead the development of sophisticated AI solutions leveraging deep learning, LLMs, and advanced machine learning techniques to transform both seller operations and internal consultancy capabilities at scale - Define and drive long-term scientific vision for the organization, translating complex business challenges into innovative technical solutions that advance the state-of-the-art in applied machine learning - Design and implement advanced ML architectures combining multiple learning paradigms - from reinforcement learning and causal inference to predictive modeling - to tackle critical marketplace challenges - Architect next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale - Drive end-to-end development of AI applications from research through production, collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact - Pioneer novel applications of foundation models and generative AI, developing sophisticated evaluation frameworks while maintaining Amazon's
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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: 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: Applied Scientist, Ads Measurement Science
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $172K-$223K
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/10437287/applied-scientist-ads-measurement-science
EXCERPT: Applied Scientist, Ads Measurement Science New York, New York, USA The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team 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 advertiser's 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 also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. 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 Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems Disambiguate problems to propose clear evaluation frameworks and success criteria Work autonomously and write high quality technical documents Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production Partner closely with other scientists to deliver large, multi-faceted technical projects Share and publish works with the broader scientific community through meetings and conferences Communicate clearly to both technical and non-technical
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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: Applied Scientist
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-20
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/10372619/applied-scientist
EXCERPT: Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to
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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. Machine Learning Engineer, Medical Imaging
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000131179324-sr-machine-learning-engineer-medical-imaging
EXCERPT: Sr. Machine Learning Engineer, Medical Imaging Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Job Description The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. We are seeking a senior algorithm engineer to play a lead technical role in conceptualizing, designing, and evaluating our next- generation planning and guidance software. This role is dedicated to developing advanced algorithms to analyze chest medical images for complex lung diseases. This role focuses heavily on the processing and fusion of
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TITLE: Research Analyst Intern
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Remote | Sunnyvale, CA, United States (remote)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000131203150-research-analyst-intern
EXCERPT: Research Analyst Intern Remote | Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Research Analyst will report to the Manager of Global Evidence Management team and will play a key role in executing scientific research projects focused on evidence synthesis, meta-analysis, and real-world evidence. The main responsibility of this position is to conduct high-quality systematic literature reviews, meta-analyses, and outcomes research, contributing to evidence generation for clinical, regulatory, policy, and commercialization strategies. The Research Analyst will collaborate with broader Global Access, Value and Economics, Market Access and Customers Analytics, Clinical and Regulatory
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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: Applied Scientist, Advertising, AMPI Measurement
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
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/10444842/applied-scientist-advertising-ampi-measurement
EXCERPT: Applied Scientist, Advertising, AMPI Measurement Seattle, Washington, USA Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of advertising tools and products that drive discovery and Advertiser success. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. The Marketing Effectiveness & Measurement Science team develops causal inference and machine learning systems to measure the impact of marketing programs across Amazon's advertising ecosystem. We build production-grade measurement models and the calibration system that serves as the measurement truth layer - continuously validating model outputs against RCTs and certifying them for high-stakes business and finance decisions. As our signals increasingly feed automated, machine-speed consumers, we are also transforming how we operate: building AI-assisted pipelines and agents that automate onboarding, backfills, diagnostics, and reporting so scientists can focus on judgment and method. Our work sits at the intersection of econometrics, scalable and reliable ML systems, calibration, and high-stakes business decisions. As an Applied Scientist on this team, you will own end-to-end modeling and production pipelines - from problem formulation and experimental design through model development, productionization, calibration, and stakeholder communication - increasingly augmented by AI tooling and agents. Major responsibilities include: Translate / Interpret Partner with cross-functional teams to translate business questions
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TITLE: Associate Director, Emerging Channel Insights & Analytics -Market Access & Patient Services
EMPLOYER: AbbVie Inc.
LOCATION: San Francisco, 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/3743990013144466-associate-director-emerging-channel-insights-analytics-market-access-patient-services
EXCERPT: Associate Director, Emerging Channel Insights & Analytics -Market Access & Patient Services San Francisco, CA, 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: AbbVie's Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors. The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie's diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment. Key Responsibilities: Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for
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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: Principal, Applied Scientist, AWS Applied AI Solutions
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $199K-$269K
POSTED: 2026-02-03
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/3173173/principal-applied-scientist-aws-applied-ai-solutions
EXCERPT: Principal, Applied Scientist, AWS Applied AI Solutions Seattle, Washington, USA Join us if you're excited about pushing the boundaries of what's possible in physical AI, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale. We are seeking an exceptional Principal Applied Scientist to drive technical innovation in visual reasoning foundation models. You will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems. You will lead the efforts of building a next-generation visual reasoning engine powered by frontier Large Video Models (LVMs). Your mission is to build a system that rivals human understanding of the physical world-moving far beyond the static perception of detection and tracking into the realm of deep spatial-temporal reasoning. This is not a passive computer vision tool; it is an agentic collaborator capable of interpreting natural language instructions, navigating unstructured environments, and executing complex tasks. You will sit at the high-stakes intersection of LVMs, LLMs, and Agentic AI, engineering systems that don't just 'see' but reason and act within the physical world. You will own end-to-end technical solutions from research to production deployment, driving innovation through hands-on research, prototyping, and deployment while delivering production impact. Key job responsibilities - Direct the technical vision for next-gen visual reasoning, pioneering the use of LVMs to solve high-dimensional spatial-temporal problems - Design and implement novel deep learning architectures combining a multitude of modalities, including image, video,
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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 Data Engineer
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000126405230-senior-data-engineer
EXCERPT: Senior Data Engineer Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are seeking a Senior Data Engineer to join the software team within the Endoluminal business unit and help drive AI developer enablement initiatives across the company. The successful candidate will design, build, and scale data pipelines and datasets that power APIs. Essential Job Duties Design and implement scalable data pipelines (batch and/or streaming) Build and maintain curated datasets for downstream APIs and applications Define and enforce data quality, validation, and observability standards Implement data transformation, modeling, and schema design Collaborate with
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TITLE: Field Sales Associate | Urology - Endourology | St. Louis, MO
EMPLOYER: Boston Scientific
LOCATION: St Louis, MO (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.bostonscientific.com/job/St_-Louis-Field-Sales-Associate-Urology-Endourology-St_-Louis%2C-MO-MO-63101/1384950200/
EXCERPT: Field Sales Associate | Urology - Endourology | St. Louis, MO St Louis, MO Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Field Sales Associate - Urology About the Role As a Field Sales Associate (FSA) at Boston Scientific, you will play a pivotal role in supporting regional accounts under the guidance of the Region Sales Manager. Working closely with Territory Managers, you'll help maintain market share across existing accounts while delivering exceptional service and clinical support. This includes conducting in-services and assisting with training initiatives to elevate the team's performance and customer experience. Key Responsibilities Strengthen key account relationships through regular customer visits, product demonstrations, educational programs, in-services, procedural observation, and issue resolution Engage with a broad range of stakeholders including physicians, nurses, technicians, materials management, hospital administration, and infection control Collaborate with Territory Managers, Sales Management, HEMA, and cross-functional teams to assess business conditions and sales trends Drive utilization of targete
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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: 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
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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: Senior Applied Scientist, Selling Partner Support
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-02-09
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/3177192/senior-applied-scientist-selling-partner-support
EXCERPT: Senior Applied Scientist, Selling Partner Support Seattle, Washington, USA At Amazon, we strive every day to be Earth's most customer-centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AI-enhanced experiences that provide world class support to our global network of selling partners. We are building applications at the forefront of GenAI applications, tackling the challenges caused by the volume, diversity, and complexity of our selling partner's needs. Do you want to join a team of scientists with critical problem solving skills who are innovating on behalf of our customers using natural language processing and generative AI? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity? Are you excited by the prospect of your solutions resulting in large-scale impact while getting a chance to research at the forefront of AI innovation? The SPSE Science Team is looking for a Senior Applied Scientist to build machine learning and GenAI solutions (agentic frameworks) that help us understand and solve our sellers' most challenging problems. We need to better understand our Sellers and the problems they face, to augment our human workforce with smarter tools and to automatically diagnose and resolve issues. In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams and product owners to build ML
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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: Systems Engineer R&D
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000124193740-systems-engineer-r-d
EXCERPT: Systems Engineer R&D Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Advanced Product Development (APD) team is focused on designing and developing the next generation of surgical robotic systems. The Systems Engineer R&D works closely with the Systems Analysis and NPI teams to integrate software capabilities into manufacturing and test workflows for next-generation daVinci platforms. Reporting to the Sr. Manager R&D, this role connects R&D outputs to production processes, building and maintaining the software infrastructure that supports system bring-up, test, and manufacturing at scale. The right candidate is comfortable working across software,
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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: Interventional Oncology Associate Rep - St. Louis
EMPLOYER: Boston Scientific
LOCATION: St Louis, MO (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.bostonscientific.com/job/St_-Louis-Interventional-Oncology-Associate-Rep-St_-Louis-MO-63101/1399234200/
EXCERPT: Interventional Oncology Associate Rep - St. Louis St Louis, MO Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. About this role: Boston Scientific's Interventional Oncology & Embolization (IO&E) Associate is a transitional role to prepare candidates to become a Sales Consultant within the Interventional Oncology Division. The IO&E Associate will be assigned by region to an existing territory in which there is potential to convert and grow the business. IO&E Associates are accountable for delivering exceptional customer service, driving revenue, supporting clinical education, and executing strategic growth initiatives. The role collaborates with the Regional Manager and territory consultant to provide support and drive sales revenue at identified accounts. Each IO&E Associate will report directly to a Regional Sales Manager. IO&E Associates may be required to work outside their primary assignments as required by business conditions. Your responsibilities will include: Build strong customer relationships through routine visits, product demonstrations, educational programs, product in-services, procedural observatio
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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: Senior Biostatistician
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000121034537-senior-biostatistician
EXCERPT: Senior Biostatistician Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position As a key member of the Clinical Affairs department, the Senior Biostatistician (Biostatistician IV) provides advanced statistical expertise to support the design, conduct, and analysis of clinical studies, ranging from early pre-market to post-market evidence generation. The Biostatistician IV is the statistical subject matter expert working in cross-functional teams, managing roadmaps and priorities to ensure timely and high quality delivery of results. This role serves as a nearly independent statistical lead, providing technical leadership by improving analysis processes, mentoring junior staff, and managing
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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: Senior Scientist, Data I (Chemistry, Materials Controls – Acceleration)
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/3743990012923786-senior-scientist-data-i-chemistry-materials-controls-acceleration-
EXCERPT: Senior Scientist, Data I (Chemistry, Materials Controls – Acceleration) 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: AbbVie's Operations Business Insights (OBI) group is continuously innovating to transform AbbVie operations organization to enable the use of data and analytics to drive world-class innovation, performance, and agility in service of our patients across the globe. We are looking for a Senior Data Scientist with wide-ranging analytics experience to work within a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology. The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine-learning methodologies. The Senior Data Scientist will also ensure end-to-end delivery of assigned data science applications, studies and POCs overseeing project teams of junior data scientists and data analysts. This role will also serve as a key contributor and thought leader to the group strategy, awareness/education activities and discovery/development/ideation of data science opportunities in the various functional areas OBI serves. This role will operate about 50%
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TITLE: Measurement Science Lead
EMPLOYER: Comcast Corporation
LOCATION: 3 Locations (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://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/NY---New-York-55-W-46th-St-FL-33--34/Measurement-Science-Lead_R433783
EXCERPT: Measurement Science Lead 3 Locations posted: Posted 30+ Days Ago
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TITLE: Sr. Data Science, Amazon Customer Service Data Analytics Support Hub
EMPLOYER: Amazon
LOCATION: Luxembourg, LUX (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://www.amazon.jobs/en/jobs/10443598/sr-data-science-amazon-customer-service-data-analytics-support-hub
EXCERPT: Sr. Data Science, Amazon Customer Service Data Analytics Support Hub Luxembourg, LUX Amazon's Customer Service (CS) department is seeking a senior Data Scientist to lead the scientific direction of the Data Analytics Support Hub (DASH) Advanced Analytics team. CS is the heart of Amazon; our vision is to be Earth's most customer-centric company. The successful candidate will be the scientific leader within the Advanced Analytics branch, setting the methodological bar and driving Q&E's most complex diagnostic and predictive analytics across a worldwide, cross-vertical scope. As a Data Scientist III, you will define the scientific strategy for Q&E's transition from descriptive to diagnostic and predictive analytics. You will own the measurement frameworks for pioneering KPIs where no prior art exists, lead the multi-contact journey science (Transfers, Repeats, DART, ECR/VPI), and be the scientific voice in partnership with central teams. You will be hands-on on 2-3 flagship programs while being accountable for the scientific bar across the entire branch. Key job responsibilities Responsibilities include but are not limited to: - Set the scientific direction for the Advanced Analytics branch across flagship initiatives. - Define measurement frameworks for Q&E-pioneering KPIs where no prior art exists (QoS, FIR, Outlier Behavior). - Own the scientific framework for multi-contact journey analysis: threading interactions, attributing root cause across touchpoints, separating preventable vs. necessary events. - Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs. Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and
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TITLE: Medical Director, Clinical Sciences
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: Tokyo (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
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/Tokyo/Medical-Director--Clinical-Sciences_R47082
EXCERPT: Medical Director, Clinical Sciences Tokyo posted: Posted 3 Days Ago
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TITLE: Applied Scientist II, Advertising Incrementality Measurement
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $172K-$223K
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/10411848/applied-scientist-ii-advertising-incrementality-measurement
EXCERPT: Applied Scientist II, Advertising Incrementality Measurement New York, New York, USA Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team! Our work builds the foundations for providing customer-facing advertising measurement tools, furthering internal research & development, and building out Amazon's advertising measurement offerings. Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions, and this role will play a key role in the release and expansion of these offerings. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems. You should have strong analytical and communication skills, be able to work with product managers to define key business questions and work with the engineering team to bring our solutions into production. You will join a highly collaborative and diverse
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TITLE: Medical Science Liaison (MSL)
EMPLOYER: Abbott Laboratories
LOCATION: Colombia - Bogota (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://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Colombia---Bogota/Medical-Science-Liaison--MSL-_31153023
EXCERPT: Medical Science Liaison (MSL) Colombia - Bogota posted: Posted Yesterday
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TITLE: Future opportunities - Sr Manager Data Operations, Medical Imaging AI
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000110493045-future-opportunities-sr-manager-data-operations-medical-imaging-ai-
EXCERPT: Future opportunities - Sr Manager Data Operations, Medical Imaging AI Sunnyvale, CA, United States Company Description: Company Description At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of
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TITLE: Manager Data Science
EMPLOYER: Abbott Laboratories
LOCATION: India - Mumbai (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://abbott.wd5.myworkdayjobs.com/abbottcareers/job/India---Mumbai/Manager-Data-Science_31148606-1
EXCERPT: Manager Data Science India - Mumbai posted: Posted 30+ Days Ago
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TITLE: Senior AI/ML Research Engineer (Computer Vision)
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000131739316-senior-ai-ml-research-engineer-computer-vision-
EXCERPT: Senior AI/ML Research Engineer (Computer Vision) Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Senior AI/ML Research Engineer (Computer Vision), you will develop the perception models that let our Embodied-AI system understand the surgical scene. Working within a hierarchical, multimodal stack-where a high-level model interprets sensory observations into structured intent and a low-level
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TITLE: Medical Science Liaison - Vaccines
EMPLOYER: Pfizer
LOCATION: Morocco - Casablanca (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
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/Morocco---Casablanca/Medical-Science-Liaison---Vaccines_4959081-2
EXCERPT: Medical Science Liaison - Vaccines Morocco - Casablanca posted: Posted 7 Days Ago
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TITLE: Associate Manager, Payer & Channel Analytics - Market Access Patient Services
EMPLOYER: AbbVie Inc.
LOCATION: Mettawa, 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/3743990013503544-associate-manager-payer-channel-analytics-market-access-patient-services
EXCERPT: Associate Manager, Payer & Channel Analytics - Market Access Patient Services Mettawa, 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 Market Access Patient Services (MAPS) organization within APEX plays an instrumental role in shaping market access strategies for all of AbbVie's domestic brands. As a member of this team, you will plan and execute standard and ad-hoc analytics to identify/ quantify payer opportunities and threats, make specific recommendations on the development of market access strategies and tactics, develop analytical capabilities, enable organizational learning, and ensure alignment of analytical insights with the broader commercial goals of each brand. The role requires foundational data analytics training and experience in the pharmaceutical or related industry. The role provides insights that directly impact patient and physician access to AbbVie brands through its influence on the development of pricing, contracting and other access strategies. MAJOR RESPONSIBILITIES Execute standard / ad-hoc analyses on a key brands focused on providing insights that influence market access strategy through data analytics, customer insights and business knowledge. Assist in the development with
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TITLE: Data Sciences Sr Mgr
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/Data-Sciences-Sr-Mgr_R-231982
EXCERPT: Data Sciences Sr Mgr India - Hyderabad posted: Posted 30+ Days Ago
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TITLE: Sr. Quality System Engineer
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Sunnyvale, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
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://jobs.smartrecruiters.com/Intuitive/744000127678639-sr-quality-system-engineer
EXCERPT: Sr. Quality System Engineer Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position Senior professional individual contributor leading complex QMS compliance initiatives, policy implementation, risk assessments, remediation actions, audit readiness, and cross-functional quality system projects. Provides technical leadership and supports alignment across functions, sites, regions, and business units. Essential Job Duties Lead complex QMS compliance projects, risk assessments, remediation plans, policy implementation, and quality plan execution across functions or sites. Define implementation approach, deliverables, governance, risks, success criteria, and escalation pathways. Provide senior-level review of QMS changes, procedures, training plans, records, dashboards, and implementation
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TITLE: Medical Science Liaison
EMPLOYER: Pfizer
LOCATION: Malaysia - Kuala Lumpur (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://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Malaysia---Kuala-Lumpur/Medical-Science-Liaison_4954539
EXCERPT: Medical Science Liaison Malaysia - Kuala Lumpur posted: Posted 30+ Days Ago
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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: Account Manager - Life Sciences
EMPLOYER: Ecolab
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://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Ohio---Columbus/Account-Manager----Life-Sciences_R00292008
EXCERPT: Account Manager - Life Sciences 2 Locations posted: Posted 30+ Days Ago
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TITLE: Applied Scientist, Selling Partner Support Engagement
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $136K-$184K
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/10442992/applied-scientist-selling-partner-support-engagement
EXCERPT: Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine Learning and Statistics -
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TITLE: Medical Science Liaison - Cardiology
EMPLOYER: Amgen
LOCATION: Colombia - Bogota (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://amgen.wd1.myworkdayjobs.com/Careers/job/Colombia---Bogota/Medical-Science-Liaison_R-246645
EXCERPT: Medical Science Liaison - Cardiology Colombia - Bogota posted: Posted 2 Days Ago
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TITLE: Sr. Applied Scientist, Private Brands Intelligence - SCIT Science
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 196K-327K
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/10436636/sr-applied-scientist-private-brands-intelligence-scit-science
EXCERPT: Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Vancouver, British Columbia, CAN The Private Brands team is looking for a Sr. Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon's retail business and develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Scientists, Engineers, and Economists. Key job responsibilities You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a Sr Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. We are particularly interested in candidates with experience in Operations Research and predictive models and working with distributed systems. Academic and/or practical background in Operations Research, Machine Learning and Reinforcement Learning are particularly relevant
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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: 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 I- (Biologics Bioanalysis, Characterization and Proteomics Group)
EMPLOYER: AbbVie Inc.
LOCATION: South San Francisco, 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/3743990013523525-sr-scientist-i-biologics-bioanalysis-characterization-and-proteomics-group-
EXCERPT: Sr. Scientist I- (Biologics Bioanalysis, Characterization and Proteomics Group) South San Francisco, CA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Quantitative, Translational ADME Sciences (QTAS) department at AbbVie is seeking a highly motivated scientist to join the Biologics bioanalysis, characterization, and proteomics group. The main function of this position is to develop and implement LC/MS (liquid chromatography/mass spectrometry)-based bioanalysis and in vitro characterization assays of novel biologics entities. The successful candidate will be experienced in the optimization and implementation of novel and routine LC/MS-based bioanalytical methods to drive in vivo PK, TK, and PK/PD analysis as well as in vitro stability characterization of biotherapeutics. The candidate will be responsible for sample preparation, method development, bioanalytical assay operations, data analysis, report generation, and data presentation. Key tasks and responsibilities: Operate and maintain LC/MS instruments to generate high-quality experimental data. Perform affinity purification of biotherapeutic (including but not limited to monoclonal and multispecific antibody, antibody drug conjugates, antibody-siRNA conjugates, and tLNPs). Analyze data and maintain detailed, accurate and comprehensive study documentation in electronic laboratory
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TITLE: Sr. Applied Scientist, C360
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $167K-$226K
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/10442940/sr-applied-scientist-c360
EXCERPT: Sr. Applied Scientist, C360 Seattle, Washington, USA Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Do you want access to massive datasets, world-class compute, and a team of top scientists and engineers building the future of e-commerce? If so, you'll be a great fit for our team at Amazon. We build large-scale ML solutions that deliver personalized, up-to-date recommendations to millions of customers. Our team is uniquely positioned to shape how customers think about their shopping journey. We're looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post-training-instruction tuning, reward modeling, reinforcement learning, and multi-modal alignment. You'll design and run large-scale experiments, analyze model behavior, and develop training recipes that improve core capabilities like reasoning, personalization, and other frontier paradigms. Key job responsibilities - Own the scientific roadmap for personalization initiatives, identifying high-impact research directions and translating ambiguous business problems into well-defined ML formulations - Design and lead end-to-end systems spanning recommendations, information retrieval, and LLM fine-tuning, from problem framing through offline experimentation to production A/B testing and launch - Drive technical decisions on model architecture, training methodology, and evaluation frameworks, balancing scientific rigor with business impact and operational constraints - Mentor and raise the bar for the science team through design reviews, paper discussions, and establishing best practices for experimentation and reproducibility - Influence cross-functional strategy by partnering with engineering, product, and leadership to define the product vision informed by what's technically feasible and
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TITLE: Associate Director- Data Science
EMPLOYER: Verizon Communications
LOCATION: 6 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
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://verizon.wd12.myworkdayjobs.com/verizon-careers/job/Basking-Ridge-New-Jersey/Associate-Director--Data-Science_R-1095157
EXCERPT: Associate Director- Data Science 6 Locations posted: Posted 28 Days Ago
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TITLE: Senior Applied Scientist, Experience Analytics
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-05-04
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/10409661/senior-applied-scientist-experience-analytics
EXCERPT: Senior Applied Scientist, Experience Analytics Seattle, Washington, USA AWS Experience Analytics (EXA) is seeking an Applied Scientist to join our team. EXA exists to turn customer understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform, customer experience measurement frameworks, and segmentation systems, and the science that powers these products is well underway. What we need is someone who can add to our work in segmentation models, behavioural classifiers, and predictive frameworks - bringing both scientific depth and the production engineering skills to take models from notebook to production. You will bring your creative and learn and be curious mindset and work within the science team helping us ship faster across the full range of modelling and ML work and at greater scale. The problems are genuinely interesting. AWS customers are shifting from console-based building toward AI-augmented, agent-primary, and autonomous workflows. The signals that tell us who customers are, what they are trying to do, and where they struggle are changing fundamentally. There is more to model, more to explore, and more to build than the current team can get to - and that is where you come in. Key job responsibilities - Contribute to and extend the team's work in customer segmentation models, behavioral classification systems, and predictive frameworks - adding scientific depth and production engineering capability. - Build production ML infrastructure - offline training pipelines, online scoring systems, and monitoring. - Frame and tackle new modelling problems as
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TITLE: Director, Data Science & Analytics
EMPLOYER: Adobe Inc.
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
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/San-Francisco/Director--Data-Science---Analytics_R166964
EXCERPT: Director, Data Science & Analytics 3 Locations posted: Posted 30+ Days Ago
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TITLE: Principal Applied Scientist, AWS Marketplace & Partner Services
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $199K-$269K
POSTED: 2026-02-09
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/3177084/principal-applied-scientist-aws-marketplace-partner-services
EXCERPT: Principal Applied Scientist, AWS Marketplace & Partner Services Seattle, Washington, USA The AWS Marketplace & Partner Services (AMPS) Science team is at the forefront of driving AWS's AI-powered growth through developing and evaluating the next generation search, recommendations, and agentic systems. As a Principal Applied Scientist on our team, you'll own the technical strategy and execution for our most ambitious AI-driven initiatives that directly accelerate AWS revenue growth through both customer discovery experiences and partner co-selling capabilities. Your work will establish Marketplace as customers' primary solution discovery and transaction platform while simultaneously transforming how AWS partners scale their business through insights and agentic workflow automation. You will be a trusted technical leader who tackles intrinsically complex scientific problems by leveraging deep expertise in information retrieval, recommendation systems, LLMs, and agentic systems. You'll innovate and set the standard for scientific excellence, making decisions that affect how products are built and integrated across AMPS. You'll align teams toward coherent strategies, guide peers in adopting the latest scientific trends, and force-multiply by decomposing hard problems and executing through collaboration. Key job responsibilities - Define direction for next-generation recommendation systems, including deep personalization, agentic architecture, and primitives that integrate customer usage patterns, infrastructure requirements, and business objectives to deliver personalized, outcome-oriented guidance - Lead information retrieval innovations, multi-objective ranking, and reasoning over heterogeneous solution types - Architect, implement, and design agentic AI systems that orchestrate complex workflows - Bridge theoretical innovations with practical solutions, making critical judgments to select the best technical approaches for
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TITLE: Medical Science Liaison - (Oncology)
EMPLOYER: Abbott Laboratories
LOCATION: Thailand - Bangkok (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
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://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Thailand---Bangkok/Medical-Science-Liaison_31150609
EXCERPT: Medical Science Liaison - (Oncology) Thailand - Bangkok posted: Posted 4 Days Ago
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TITLE: Senior Associate Scientist
EMPLOYER: Pfizer
LOCATION: United States - New York - Pearl River (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/United-States---New-York---Pearl-River/Senior-Associate-Scientist_4956900-1
EXCERPT: Senior Associate Scientist United States - New York - Pearl River posted: Posted Today
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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
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TITLE: Associate Director, Intercontinental Business Insights
EMPLOYER: AbbVie Inc.
LOCATION: Mettawa, IL, United States (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://jobs.smartrecruiters.com/AbbVie/3743990013560316-associate-director-intercontinental-business-insights
EXCERPT: Associate Director, Intercontinental Business Insights Mettawa, 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 AD, Intercontinental Business Insights is to be a visionary leader driving the acceleration of insights generation and data management across Intercontinental, with a verticalized responsibility from area to affiliate. Abbvie Future Fit programs includes Winning With Data as a core capability. This role is critical to achieve the transformation of the company into a data-driven organization. The AD, Business Insights will lead and champion the development of analytic solutions that have a direct impact on business decision-making, harmonize KPIs, and optimize performance tracking through innovative automation technologies. The role will also be responsible to accelerate and harness AI as an innovation technology into the area business operations. The AD, Intercontiental Business Insights will closely work together with Area Commercial, Finance, Market Access, Medical, HR, CEX and BTS stakeholders. In the deployment of analytic solutions, he/she will also partner with Affiliate CEX/BTS teams. Key Responsibilities: Leadership and Strategic Vision: Lead the integration of WWD capability into the Intercontinental Area
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TITLE: Director, Data Science & Strategy
EMPLOYER: Adobe Inc.
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-20
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/San-Francisco/Data-Science-Engineer-6_R169018
EXCERPT: Director, Data Science & Strategy San Francisco posted: Posted 23 Days Ago
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TITLE: Expert Imagery Scientist (OPIR)
EMPLOYER: Leidos
LOCATION: Springfield, VA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
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/Springfield-VA/Expert-Imagery-Scientist--OPIR-_R-00183803
EXCERPT: Expert Imagery Scientist (OPIR) Springfield, VA posted: Posted 21 Days Ago
---
TITLE: Director, Analytics & Data Science
EMPLOYER: Adobe Inc.
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
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/San-Francisco/Director--Analytics---Data-Science_R164016-1
EXCERPT: Director, Analytics & Data Science San Francisco posted: Posted 30+ Days Ago
---
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: Associate Director Data Science
EMPLOYER: Verizon Communications
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
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://verizon.wd12.myworkdayjobs.com/verizon-careers/job/Temple-Terrace-Florida/Associate-Director-Data-Science_R-1094983
EXCERPT: Associate Director Data Science 3 Locations posted: Posted 9 Days Ago
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TITLE: Endoluminal Sales Representative
EMPLOYER: Intuitive Surgical, Inc.
LOCATION: Nashville, TN, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
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://jobs.smartrecruiters.com/Intuitive/744000126368608-endoluminal-sales-representative
EXCERPT: Endoluminal Sales Representative Nashville, TN, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion-have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here. Job Description: The U.S. ION® Endoluminal Sales Representative (ESR) reports to the U.S. ION® Endoluminal Program Manager (EPM). The ION® ESR plays a critical role in the early adoption of the Ion® platform in expanding access to minimally invasive care for lung biopsy. This individual will be primarily focused on building and supporting early sustainable users and programs and the development of KOL's and programs that can highlight the early clinical, economic and strategic value of ION®. Essential Job Duties Provide procedural support to new users to promote safety and effective
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TITLE: Senior Data Science Engineer
EMPLOYER: Adobe Inc.
LOCATION: San Jose (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
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/San-Jose/Senior-Data-Scientist-Engineer_R157877-1
EXCERPT: Senior Data Science Engineer San Jose posted: Posted 30+ Days Ago
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TITLE: Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
EMPLOYER: Amazon
LOCATION: Toronto, Ontario, CAN (unspecified)
SALARY: CAD 196K-327K
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)
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/10399938/senior-applied-scientist-measurement-ad-tech-and-data-science-mads
EXCERPT: Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) Toronto, Ontario, CAN The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. The Media Planning Science team, part of broader MADS team, develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes. As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics. Key job responsibilities * Lead the development of media planning models
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TITLE: Senior Specialist - Data Science
EMPLOYER: Baker Hughes
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
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/IN-MH-MUMBAI-HIRANANDANI-BUSINESS-PARK-POWAI/Senior-Specialist---Data-Science_R160403
EXCERPT: Senior Specialist - Data Science 2 Locations posted: Posted 4 Days Ago
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TITLE: Analytical Scientist
EMPLOYER: Amgen
LOCATION: 2 Locations (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---Massachusetts---Cambridge/Analytical-Scientist_R-244500
EXCERPT: Analytical Scientist 2 Locations posted: Posted Yesterday
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TITLE: Associate Scientist - Protein Expression Science
EMPLOYER: Regeneron Pharmaceuticals
LOCATION: TARRYTOWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
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---Protein-Expression-Science_R47298
EXCERPT: Associate Scientist - Protein Expression Science TARRYTOWN posted: Posted 3 Days Ago
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TITLE: Scientist I, Analytical R&D
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (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://jobs.smartrecruiters.com/AbbVie/3743990013550656-scientist-i-analytical-r-d
EXCERPT: Scientist I, Analytical R&D 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 Analytical Research & Development (Analytical R&D) is a global analytical scientific organization responsible for all CMC analytical activities related to the development of AbbVie's pharmaceutical products. Our scope includes AbbVie's diverse pipeline of innovative small molecule medicines and spans from the selection of Discovery candidate molecules to Late Stage Clinical. We are building a world-class team of scientists and leaders who will drive the advancement of industry-leading analytical capabilities and make meaningful contributions to advance AbbVie's pipeline of innovative medicines. Careers in AbbVie Analytical R&D provide unique opportunities to work with global and cross-functional teams to drive exceptional science and innovative product development strategies. We are looking for diverse candidates with strong scientific experience to join the AbbVie Analytical R&D team and can offer exciting and rewarding career opportunities for these candidates. Investigate, identify, develop, and optimize new methods and techniques to generate reliable and reproducible data in a timely manner. Read and adapt scientific literature to accomplish
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TITLE: Director of Data Science & Engineering
EMPLOYER: Adobe Inc.
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
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/San-Jose/Dir--Operational-Intelligence_R154930-1
EXCERPT: Director of Data Science & Engineering 2 Locations posted: Posted 30+ Days Ago
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TITLE: Scientist II/Sr Scientist I , Analytical R&D
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/3743990012982016-scientist-ii-sr-scientist-i-analytical-r-d
EXCERPT: Scientist II/Sr Scientist I , Analytical R&D 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 Analytical Research & Development (Analytical R&D) is a global analytical scientific organization responsible for all CMC analytical activities related to the development of AbbVie's pharmaceutical products. Our scope includes AbbVie's diverse pipeline of innovative small molecule medicines and spans from the selection of Discovery candidate molecules to Late Stage Clinical. We are building a world-class team of scientists and leaders who will drive the advancement of industry-leading analytical capabilities and make meaningful contributions to advance AbbVie's pipeline of innovative medicines. Careers in AbbVie Analytical R&D provide unique opportunities to work with global and cross-functional teams to drive exceptional science and innovative product development strategies. We are looking for diverse candidates with strong scientific experience to join the AbbVie Analytical R&D team and can offer exciting and rewarding career opportunities for these candidates. Position Description: For the Scientist II position, we are seeking a highly motivated candidate who can independently develop and optimize new methods and
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TITLE: Medical Director, Clinical Sciences, Hematology
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/Medical-Director--Clinical-Sciences--Hematology_R43418-1
EXCERPT: Medical Director, Clinical Sciences, Hematology TARRYTOWN posted: Posted 4 Days Ago
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TITLE: Sr Data Scientist, SPX AI Lab, SPX Science
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $159K-$215K
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)
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/10444800/sr-data-scientist-spx-ai-lab-spx-science
EXCERPT: Sr 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 Senior Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientist, engineers and product teams 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 • Own the science vision, strategy, and roadmap for a key Seller Assistant capability area. • Define and ship agentic experiences - sub-agent onboarding, tool onboarding, evaluations- that solve hard seller problems at scale. • Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on. • Design rigorous evaluation frameworks - automated and human-in-the-loop - to measure agent quality, accuracy, and business impact. • Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team. • Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality. About
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TITLE: Medical Science Liaison
EMPLOYER: Abbott Laboratories
LOCATION: Saudi Arabia - Jeddah (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://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Saudi-Arabia---Jeddah/Medical-Science-Liaison_31148317
EXCERPT: Medical Science Liaison Saudi Arabia - Jeddah posted: Posted 30+ Days Ago
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TITLE: Manufacturing Visual Inspection Technician
EMPLOYER: AbbVie Inc.
LOCATION: Sligo, SO, Ireland (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/3743990013245637-manufacturing-visual-inspection-technician
EXCERPT: Manufacturing Visual Inspection Technician Sligo, SO, Ireland 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: Innovate with intention. Science is at the heart of what we do. People are at the heart of why we do it. Welcome to AbbVie! We are a global, research-based biopharmaceutical company that combines the focus and passion of leading-edge biotech with the expertise and capability of an established pharmaceutical leader. Redefining what is possible is our business and our passion. Our goal is to help patients live healthier lives and we are proud to be a Great Place to Work. We are recruiting a Manufacturing Visual Inspection Technician to join a brand new team on our site in Ballytivnan, Sligo . You will work as a team member to support biologics operations in pharma operations in line with all safety, regulatory and organizational requirements. This role will require shift work. Are you intrigued? Do you want to learn more? Responsibilities: Document all activities in line with cGMP requirements. Perform final product visual inspection. Perform product intermediary packaging, as applicable. Perform
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TITLE: Principal AI and Data Science Lead
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/3743990012909140-principal-ai-and-data-science-lead
EXCERPT: Principal AI and Data Science Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide. Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders. Key Responsibilities: • Provide leadership in developing, maintaining, and governing the data science platform to
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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: Senior Applied Scientist, HST Health Evaluation
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-08
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/10385936/senior-applied-scientist-hst-health-evaluation
EXCERPT: Senior Applied Scientist, HST Health Evaluation Bengaluru, Karnataka, IND Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities • Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical • Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) • Optimize and fine-tune models for production deployment, including model distillation for improved latency • Drive scientific innovation while maintaining a strong focus on practical business outcomes • Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits • Contribute to the broader Amazon Health scientific community and help shape our technical roadmap Basic Qualifications: - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning
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TITLE: Applied Scientist, Stores Economics & Science (SEAS)
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
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/10447054/applied-scientist-stores-economics-science-seas
EXCERPT: Applied Scientist, Stores Economics & Science (SEAS) Seattle, Washington, USA Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2026, we are focused on economics and science in areas related to (1) lowering cost-to-serve, (2) optimizing selection, and (3) emerging machine learning. We also have some ongoing and highly-leveraged collaborations that help partner teams inside Amazon short-circuit months of R&D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver state-of-the-art science and engineering solutions to improve our Stores business. In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian
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