Staff Computational Biologist Freenome IncStaff Computational BiologistCARemote$188,275–$270,375 / yearNice to haves: Experience training, evaluating, or applying biological sequence models-specifically sequence-to-function models that learn and predict functional biology directly from raw DNA, RNA, or protein sequences. Extensive experience analyzing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics, (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection assays).
Computational Biologist Freenome IncComputational BiologistCARemote$131,325–$189,525 / yearYou will work closely and cross-functionally with many teams, including Molecular Research and Development, Model R&D, and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome's diagnostic products. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker.
Computational Biologist Valius SciencesComputational BiologistSan Francisco, CaliforniaAt Valius, we believe that the future of cancer care will be defined by “maximalist” diagnostics: deep, comprehensive assessments of DNA, RNA, and protein designed to give patients and their care teams the best possible understanding of how their tumor works and what its vulnerabilities are. This coming year, we’re on track to scale our patient volume significantly, all while bringing new diagnostic modalities (e.g., single-cell transcriptomics) and analytical approaches into clinical care for the very first time.
Computational Biologist II, CellxState BiohubComputational Biologist II, CellxStateSan Francisco, CaliforniaAt the core of our current efforts is multiDPS (Multimodal Dynamic Pooled Screening), a high-throughput platform that integrates custom microscopy, automation, CRISPR screening and molecular profiling to map and predict dynamic cell states. We also create large reference datasets that can be mined and reused by the entire community for discovery, like our OpenCell project that maps protein localization and interactions ( https://opencell.czbiohub.org/ ).
Computational Biologist II, CellxState Chan Zuckerberg Biohub IncComputational Biologist II, CellxStateSan Francisco, CA$153,000–$210,100 / yearAt the core of our current efforts is multiDPS (Multimodal Dynamic Pooled Screening), a high-throughput platform that integrates custom microscopy, automation, CRISPR screening and molecular profiling to map and predict dynamic cell states. We also create large reference datasets that can be mined and reused by the entire community for discovery, like our OpenCell project that maps protein localization and interactions ( https://opencell.czbiohub.org/ ).
Computational Biologist Arcadia ScienceComputational BiologistEmeryville, CA$150,000–$200,000 / yearYou'll work closely with the platform scientists and engineering team, quickly and iteratively translating research-grade code and methods into something usable, testable, and ready to openly release. We're looking for several PhD-level computational scientists to help develop our bioinformatic tools into scalable products that are rigorous and useful for a wide range of researchers.
Computational Biologist Arcadia Science LLCComputational BiologistEmeryville, CA$150,000–$200,000 / yearYou''ll work closely with the platform scientists and engineering team, quickly and iteratively translating research-grade code and methods into something usable, testable, and ready to openly release. We''re looking for several PhD-level computational scientists to help develop our bioinformatic tools into scalable products that are rigorous and useful for a wide range of researchers.
Computational Biologist Verge GenomicsComputational BiologistSan Francisco, California5 years of experience working in applied computational biology and integration of multi-omic datasets (RNA-seq, genotyping, clinical), with 2 years in a startup environment, 2 years of experience in relevant areas of translational science , demonstrating a deep understanding of target identification, biomarker discovery, and/or patient stratification, Proven ability to implement, evaluate, and/or create computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery, Fluency with state of the art in systems biology workflows, including off-the-shelf biological databases and computational biology tools, Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems. Experience in building and evaluating machine learning models on biological data , ideally with transformer-based models (e.g., scGPT, Geneformer, ESM, ProtBERT), with a deep understanding of feature selection, model interpretability, Professional experience with AI workflows, including natural language processing (NLP), retrieval-augmented generation (RAG), embeddings, vectorization of diverse data types, and working with large language models (e.g., GPT), Demonstrated experience with model evaluation and experimental design in a scientific context, including setting up appropriate benchmarks and controls.
Data Scientist/Computational Biologist Integrated Resources, IncData Scientist/Computational BiologistRedwood City, CaliforniaContractorD. in Computational Biology, Immunology, Life Sciences, Biostatistics or equivalent - Bachelors in above would be considered if there is enough experience gained in a pharma setting - Hands-on experience developing Computational tools for sequence analyses from Next Gen platforms for antibody screening technologies - Extensive experience in scripting languages like Python, Perl and analyses tool "R". The candidate is expected to develop new tools and analytic methods leveraging the development resources within the group and within the client.
Executive Director, Computational Systems Biology Revolution Medicines, Inc.Executive Director, Computational Systems BiologyRedwood City, CA$265,000–$331,000 / yearThe individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. The 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.
NewExecutive Director, Computational Systems Biology Revolution MedicinesExecutive Director, Computational Systems BiologyRedwood City, California$265,000–$331,000 / yearThe individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. Cross-functional collaboration across research, translational, development and medical affairs groups: Work across functions to support advancement of programs from early discovery into clinical development using biological insights derived from computational approaches.
Executive Director, Computational Systems Biology Revolution Medicines IncExecutive Director, Computational Systems BiologyRedwood City, CA$265,000–$331,000 / yearThe individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. The 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.
Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity And Related) Amgen Inc.Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity And Related)South San Francisco, CA$182,465–$246,865 / yearThe Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related) Amgen IncAssociate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)South San Francisco, CA$182,465–$246,865 / yearThe Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
Principal Biologist/Senior Principal Biologist, Immune Aging Eli Lilly and CompanyPrincipal Biologist/Senior Principal Biologist, Immune AgingSan Francisco, CaliforniaOur current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL). Design and run multiparameter flow cytometry and complementary molecular and cellular assays to interrogate target biology, including panel design, FACS sorting, multiplex cytokine quantification, Western blot, qRT-PCR, co-culture systems, and functional readouts of T cell activity and senescence.
AI Biologist - Metagenomics LatchBioAI Biologist - MetagenomicsSan Francisco, CaliforniaWorking with software engineers and computational biologists, you'll build ground-truth benchmark datasets: drawn from real published microbiome studies, that rigorously test whether agents can perform the critical analytical and interpretive steps that expert microbiome researchers execute. Your deep expertise in microbiome biology, metagenomics analysis, and the ability to identify confounders and technical artifacts will define how we measure agent capability in computational microbiology.
Computational Scientist II - Single Cell Genomics Dawar ConsultingComputational Scientist II - Single Cell GenomicsSouth San Francisco, CaliforniaThis role will involve analyzing large-scale sequencing datasets, developing computational pipelines, and collaborating with multidisciplinary teams to generate biological insights that support drug discovery. Analyze and interpret large-scale single-cell sequencing datasets (scRNA-seq) generated from high-content perturbation experiments.
Computational Scientist II LancesoftComputational Scientist IISouth San Francisco, CA$66.10We are seeking a highly motivated and collaborative Computational Scientist to join the Li Lab / Geiger-Schuller Lab / Regev Lab within Research and Early Development (gRED). Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
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.
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.