NewArchitectural Practice Lead, Healthcare & Science JobotArchitectural Practice Lead, Healthcare & ScienceSan Francisco, CA$160,000–$185,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Serve as a trusted advisor to project teams and clients, offering insights into emerging trends, best practices, and strategies to achieve exceptional planning and design outcomes for healthcare environments.
AI Practice Lead - Life Sciences & Healthcare EPAM SystemsAI Practice Lead - Life Sciences & HealthcareSan Francisco, CAWork with EPAM’s clients and EPAM internal teams (business SME’s, account management teams, etc.) to shape the AI/ML/Agentic business and technology vision and GTM offerings aligned with current and emerging needs. • 10+ years of experience as Data Science Lead, Machine Learning Engineering Lead, or similar roles in the Healthcare, Pharmaceutical, MedTech/BioTech space.
Senior/ Principal Research Scientist, AI Safety, Biological/ Physical Sciences Lila Sciences IncSenior/ Principal Research Scientist, AI Safety, Biological/ Physical SciencesSan Francisco, CABonus Points ForExperience in developing or applying ML to biological or physical sciencesExperience in building evaluations, or conducting red-teaming exercises, across scientific risks for frontier models / narrow scientific tools. What You'll Need to SucceedA PhD in either a biological sciences domain (e.g., molecular biology, virology, computational biology or related fields) or a physical sciences domain (materials sciences, physics, chemistry, chemical or nuclear engineering, or related fields), or other related experience.
Research Scientist I/II, AI Safety, Biological/ Physical Sciences Lila Sciences IncResearch Scientist I/II, AI Safety, Biological/ Physical SciencesSan Francisco, CABonus Points ForExperience in developing or applying ML to biological or physical sciencesExperience in building evaluations, or conducting red-teaming exercises, across scientific risks for frontier models / narrow scientific tools. What You'll Need to SucceedA PhD in either a biological sciences domain (e.g., molecular biology, virology, computational biology or related fields) or a physical sciences domain (materials sciences, physics, chemistry, chemical or nuclear engineering, or related fields), or other related experience.
Research Scientist, Life Sciences (Computational) AnthropicResearch Scientist, Life Sciences (Computational)San Francisco, CABuild, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands.
Research Scientist, Life Sciences AnthropicResearch Scientist, Life SciencesSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Build and ship agentic tools and integrations that let Claude execute real life science workflows - bioinformatics pipelines, database queries, analysis notebooks, literature review.
Research Scientist, Life Sciences Anthropic PBCResearch Scientist, Life SciencesSan Francisco, CA$300,000–$320,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Build and ship agentic tools and integrations that let Claude execute real life science workflows - bioinformatics pipelines, database queries, analysis notebooks, literature review.
Research Scientist, Life Sciences Computational Anthropic PBCResearch Scientist, Life Sciences ComputationalSan Francisco, CA$300,000–$320,000 / yearBuild, run, and maintain the analysis pipelines that back the team''s experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. You''ll bring broad computational biology experience to bear across the team''s projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands.
Senior Data Scientist, GTM Data Science ADOBE IncSenior Data Scientist, GTM Data ScienceSan Francisco, CA$163,200–$236,400 / yearCommunicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives Elevate the team's technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
ML Scientist I / II, Foundation Models for Life Sciences Lila Sciences IncML Scientist I / II, Foundation Models for Life SciencesSan Francisco, CA$176,000–$304,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila''s closed-loop discovery engine.
Senior / Principal Scientist, Foundation Models for life Sciences Lila Sciences IncSenior / Principal Scientist, Foundation Models for life SciencesSan Francisco, CA$268,000–$384,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
ML Scientist I / II, Foundation Models for Life Sciences Lila SciencesML Scientist I / II, Foundation Models for Life SciencesSan Francisco, California$176,000–$304,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine.
Senior / Principal ML Scientist, Foundation Models for Life Sciences Lila SciencesSenior / Principal ML Scientist, Foundation Models for Life SciencesSan Francisco, California$268,000–$384,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Research Specialist / Sr Scientist, Assay Sciences, Discovery Pharmacology Altos LabsResearch Specialist / Sr Scientist, Assay Sciences, Discovery PharmacologySan Francisco, CA$129,500–$166,000 / yearAs a Research Specialist or Sr Scientist of Assay Sciences, Discovery Pharmacology team, your primary focus will be supporting the needs of development and operation of a wide range of analytical and bioassays within the Drug Discovery and Development (3DS) division of Altos. You'll be taking manual assays and turning them into super-efficient, automated processes-think moving from a bench to high-throughput screening with automated gear.
Principal Scientist / Associate Director, Agentic AI Research for Materials Science Lila Sciences IncPrincipal Scientist / Associate Director, Agentic AI Research for Materials ScienceSan Francisco, CA$288,000–$420,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Principal Scientist / Associate Director, Agentic AI Research for Materials Science Lila SciencesPrincipal Scientist / Associate Director, Agentic AI Research for Materials ScienceSan Francisco, Massachusetts$288,000–$420,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
NewDirector / Senior Director, Research Engineering, Life Sciences AI Lila Sciences IncDirector / Senior Director, Research Engineering, Life Sciences AISan Francisco, CA$320,000–$490,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Patent Prosecution Associate – Life Sciences / Biotechnology – Silicon Valley Plug LegalPatent Prosecution Associate – Life Sciences / Biotechnology – Silicon ValleySan Francisco, California$225,000–$435,000 / yearThis is not a repetitive, back-office drafting role; you will be directly involved in building and managing global patent portfolios, drafting complex applications for breakthrough therapies, and conducting critical freedom-to-operate (FTO) and patentability analyses. You will work alongside recognized leaders in the life sciences space who invest in your development, ensuring you gain the strategic advisory skills necessary to transition from an associate who executes work to a trusted advisor who commands a room.
AIML Software Engineer, AI for Science GSK plcAIML Software Engineer, AI for ScienceSan Francisco, CA$136,125–$226,875 / yearAt GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer.
Senior Specialist, Data Science Merck & Co IncSenior Specialist, Data ScienceSan Francisco, CA$129,000–$203,100 / yearThe successful candidate will lead cross-functional projects, deliver production-grade models and agentic systems, and help establish governance and MLOps practices that ensure reproducibility, transparency, and ethical AI use in preclinical research. Hands-on experience with large language models and agentic AI frameworks (fine-tuning, prompt engineering, multi-agent orchestration, tool use, and API-based production orchestration) required.