Platform Scientist: Comparative Protein Evolution Arcadia Science LLCPlatform Scientist: Comparative Protein EvolutionEmeryville, CA$130,000–$180,000 / yearThese contributions will be instrumental in developing new computational tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia. The Platform Scientist will develop computational approaches to study how natural protein variation arises and is shaped over macroevolutionary timescales, integrating sequence, structure, and function to ask how, and why, proteins differ across the tree of life.
Senior Director, Disease Biology Arc InstituteSenior Director, Disease BiologyPalo Alto, CA$263,500–$325,500 / yearAlongside that build, this leader will direct Arc's existing in vivo and advanced cellular model teams to identify and validate novel targets, partnering with Arc's computational technology center to apply causal modeling and assemble a prioritized portfolio. Partner with computational biology and machine learning teams to surface new pathway insight, apply causal modeling to test target hypotheses, and draw on patient genetics and sample databases to validate and prioritize candidates.
Chief Medical Officer Insitro IncChief Medical OfficerSouth San Francisco, CA$450,000–$480,000 / yearA key success factor in this role will be a proven track record of designing and leading the execution of Phase 1 trials bridging the gap between translational medicine and the clinic and successfully designing and delivering Phase 2 trials, establishing human POC. Build and Mentor: Continue to build, lead, and inspire a world-class team of clinical development professionals, including: clinical and preclinical DMPK and safety scientists, translational / biomarker scientists, regulatory experts, medical directors, and clinical trial managers.
Senior Machine Learning Scientist II, Drug Discovery Analytics Revolution Medicines, Inc.Senior Machine Learning Scientist II, Drug Discovery AnalyticsRedwood City, CA$251,000–$295,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist I, Drug Discovery Analytics Revolution Medicines, Inc.Senior Machine Learning Scientist I, Drug Discovery AnalyticsRedwood City, CA$229,000–$269,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Antibody Engineering Chai DiscoveryAntibody EngineeringSan Francisco, CaliforniaYou'll get exposed to a wide array of scientific problems and research methods, far beyond what one encounters working on a single drug program or within a traditional life sciences company. We are looking for exceptional antibody engineers and computational protein designers to help us evaluate, expand and apply the capabilities of our de novo antibody design models.
Platform Scientist: Comparative Protein Evolution Arcadia SciencePlatform Scientist: Comparative Protein EvolutionEmeryville, CA$130,000–$180,000 / yearThese contributions will be instrumental in developing new computational tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia. The Platform Scientist will develop computational approaches to study how natural protein variation arises and is shaped over macroevolutionary timescales, integrating sequence, structure, and function to ask how, and why, proteins differ across the tree of life.
Chief Medical Officer InsitroChief Medical OfficerSouth San Francisco, CA$450,000–$480,000 / yearA key success factor in this role will be a proven track record of designing and leading the execution of Phase 1 trials bridging the gap between translational medicine and the clinic and successfully designing and delivering Phase 2 trials, establishing human POC. Build and Mentor: Continue to build, lead, and inspire a world-class team of clinical development professionals, including: clinical and preclinical DMPK and safety scientists, translational / biomarker scientists, regulatory experts, medical directors, and clinical trial managers.
Data selection and quality evaluation for biological foundation models InceptiveData selection and quality evaluation for biological foundation modelsPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Senior Machine Learning Scientist II, Drug Discovery Analytics Revolution MedicinesSenior Machine Learning Scientist II, Drug Discovery AnalyticsRedwood City, CaliforniaLeveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist I, Drug Discovery Analytics Revolution MedicinesSenior Machine Learning Scientist I, Drug Discovery AnalyticsRedwood City, CaliforniaLeveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist II, Drug Discovery Analytics Revolution Medicines IncSenior Machine Learning Scientist II, Drug Discovery AnalyticsRedwood City, CA$251,000–$295,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist I, Drug Discovery Analytics Revolution Medicines IncSenior Machine Learning Scientist I, Drug Discovery AnalyticsRedwood City, CA$229,000–$269,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist, AI for Biology & Translation (AIBT) Genentech IncSenior Machine Learning Scientist, AI for Biology & Translation (AIBT)South San Francisco, CAThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact.
Staff Scientist, Single-Cell Multiomics Product Development Becton Dickinson Medical DevicesStaff Scientist, Single-Cell Multiomics Product DevelopmentMilpitas, California$135,500–$216,800 / yearWaters collaborates with analytical laboratories around the world to advance the release of effective, high-quality medicines, assure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combatting growing antibiotic resistance. Through a shared culture of relentless innovation, Waters’ passionate team of approximately 16,000 colleagues partner with customers to turn scientific challenges into breakthroughs that improve lives worldwide.
Member of Technical Staff Latent LabsMember of Technical StaffSan Francisco, CaliforniaYou will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g.
Member of Technical Staff, Applied AI Latent LabsMember of Technical Staff, Applied AISan Francisco, CaliforniaBefore building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.
NewMember Of Technical Staff, Applied AI Latent LabsMember Of Technical Staff, Applied AISan Francisco, CABefore building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.
AI Product Manager Manifold Bio IncAI Product ManagerSan Francisco, CAManifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match.
NewMember Of Technical Staff Latent LabsMember Of Technical StaffSan Francisco, CAYou will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g.