Staff Data Scientist, Imaging BiohubStaff Data Scientist, ImagingRedwood City, California$214,000–$294,800 / yearSuccess requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Staff Data Scientist, Imaging CZ BiohubStaff Data Scientist, ImagingRedwood City, CA$214,000–$294,800 / yearSuccess requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology-developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Scientific Lead - Forward Deployed AI Engineer, Applied Intelligence for Discovery Eli Lilly and CompanyScientific Lead - Forward Deployed AI Engineer, Applied Intelligence for DiscoverySan Francisco, CaliforniaPhD in computational biology, bioinformatics, data science, computer science, or a related field, with 3+ years of software/ML engineering or technical deployment experience; or equivalent demonstrated experience building and deploying AI/ML tools for scientific applications in biotech, pharma, or scientific software; MSin computational biology, bioinformatics, data science, computer science, or a related field, with 5+ years of software/ML engineering or technical deployment experience; or equivalent demonstrated experience building and deploying AI/ML tools for scientific applications in biotech, pharma, or scientific software. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities).
Senior AI Scientist Drug Discovery & Computational Biology PeopleNTech LLCSenior AI Scientist Drug Discovery & Computational BiologySanta Clara, CASubmission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent: Relocation ETA for relocation post pandemic Educational qualification (along with Year of passing and university details) Video / In-person interview availability (Yes/No) Currently on Project Any Certification Interviewed with Persistent in past 3 months . Position Title Senior AI Scientist – Drug Discovery & Computational Biology Domain EXP Healthcare Location Boston, MA - Hybrid Duration C2C Rate $80/Hr Indent ID PSL308177-2-1 Must Have Drug Discovery & Computational Biology Job Description We are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development.
Ai/Ml Research Engineer Manifold BioAi/Ml Research EngineerSan Francisco, CA$140,000–$225,000 / yearManifold 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. You will be expected to take ownership of engineering challenges in our ML pipeline, from data processing and model training to deployment and monitoring, while collaborating closely with our research team to translate cutting-edge ideas into robust, scalable systems.
Data Scientist, Knowledge Graphs MithrlData Scientist, Knowledge GraphsSan Francisco, CaliforniaThis role focuses on ingesting and harmonizing the world’s most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets. Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl.
Director, Machine Learning, Virtual Cell Initiative Arc InstituteDirector, Machine Learning, Virtual Cell InitiativePalo Alto, CAJoin a new type of research org that fuses high-velocity execution of a startup with the intellectual rigor of a world-class academic institute, with a long runway to tackle some of the hardest - and highest potential - challenges in science today. Our two Institute Initiatives reflect this model in action: Virtual Cell Initiative : Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
ML Engineer, Biological Analysis & Simulation MithrlML Engineer, Biological Analysis & SimulationSan Francisco, CaliforniaYou will develop the reusable analysis modules that Mithrl runs for every dataset, and you will design multi step agentic workflows that combine statistical analysis, biological reasoning, and computational modeling. Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure based modeling, and related computational frameworks.
Scientist II - Sr. Scientist, Crispr Specificity & Genomic Safety ProfluentScientist II - Sr. Scientist, Crispr Specificity & Genomic SafetyEmeryville, CAHands-on experience developing, optimizing, or applying NGS-based workflows for genome editing analysis, such as CHANGE-seq, CHANGE-seq-BE, GUIDE-seq, SITE-seq, CIRCLE-seq, Digenome-seq, DISCOVER-seq, INDUCE-seq, targeted amplicon sequencing, rhAmpSeq/AmpSeq-like workflows, hybrid capture, RNA-seq, WGS, or related approaches. Deep expertise and hands-on experience with CRISPR-based genome editing systems, particularly base editors, and a strong understanding of modality-specific specificity risks such as DNA off-target editing, RNA off-target editing, bystander editing, indels, and unintended editing outcomes.
Member of Technical Staff - Forward Deployed Scientist PhyloMember of Technical Staff - Forward Deployed ScientistSouth San Francisco, CaliforniaClinical & Translational : biomarker strategy, mechanism-of-action confirmation, patient stratification, and translational PK/PD; early clinical development (Phase 1/2, first-in-human); real-world evidence and clinical data (EHR, claims, registries; RWD analysis for effectiveness and safety). We're hiring forward deployed scientists with industry experience to partner closely with our enterprise customers, raise the scientific bar of our agents, and make sure outputs hold up under real scientific scrutiny.
Senior Applied Research Scientist NvidiaSenior Applied Research ScientistSanta Clara, CAThe base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits. The ideal candidate has a strong background in the combination of modern machine learning techniques as applied to drug discovery, genomics, proteomics, or medical chemistry.
NewScientist II, Cancer Genomics, Clinical Biomarker Development Revolution Medicines, Inc.Scientist II, Cancer Genomics, Clinical Biomarker DevelopmentRedwood City, CA$132,000–$166,000 / 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. Experienced in the interrogation of DNA sequence data derived from tumor tissue, such as gene-panel, whole-exome or whole-genome data and downstream analytics (clonality estimates, copy number variation, chromosomal instability, mutational signatures, etc).
Machine Learning Scientist, Bioml ProfluentMachine Learning Scientist, BiomlEmeryville, CAPhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Principal Scientist - Data Insights & Hypothesis Design TempusPrincipal Scientist - Data Insights & Hypothesis DesignRedwood City, CA$150,000–$200,000 / yearData Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models. Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
Research Engineer I Ii/Iii (AI / Machine Learning) Gladstone InstitutesResearch Engineer I Ii/Iii (AI / Machine Learning)San Francisco, CA$78,000–$114,000 / yearYou will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery. A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment.
Research Engineer I II/III (AI / Machine Learning) Gladstone InstitutesResearch Engineer I II/III (AI / Machine Learning)San Francisco, CaliforniaYou will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery. A meaningful place to grow and learn –whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and excellent environment.
Lead Bioinformatician (cfDNA Algorithms and Pipelines) NateraLead Bioinformatician (cfDNA Algorithms and Pipelines)San Carlos, CA$144,000–$180,000 / yearPrimary Responsibilities: Panel and Assay Science: Provide genomics algorithm insights to our expanded panel roadmap, including which genes are worth considering and why, working with Product, the Laboratory Directors, and Research, who own that decision jointly. Familiarity with identifying regions where short reads cannot be placed with confidence: homologous sequence and pseudogenes, low-complexity and repeat structure, and copy-number-heavy regions.
Member of Technical Staff - Data Partnerships LatchBioMember of Technical Staff - Data PartnershipsSan Francisco, CaliforniaCreatively assemble and package public data (patents, publications, molecular atlases, clinical trials, etc.) into meaningful and realistic biological analysis tasks. Seeking a member of technical staff, data partnerships, to work with biotechs, CROs, and clearinghouses to source and generate unique, high-value datasets.
Machine Learning Scientist, Pretraining ProfluentMachine Learning Scientist, PretrainingEmeryville, CAPublications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or experience pre-training LLMs at frontier AI/ML labs. PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
Machine Learning Scientist, Reinforcement Learning ProfluentMachine Learning Scientist, Reinforcement LearningEmeryville, CAPhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.