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Research Scientist, Life Sciences (Computational)

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA)$300k - $320kFull-timePosted 3mo ago

About the role

Research Scientist role combining computational biology with frontier AI within Anthropic's Life Sciences team, focusing on AI-accelerated biological discovery and collaboration with experimental biologists.

Responsibilities

  • Build, 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.
  • Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment
  • Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up
  • Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents
  • Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases
  • Pick up analyses across projects as priorities shift; breadth and flexibility over a single deep specialty

Qualifications

  • PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or related quantitative or biological field, or equivalent industry research experience
  • Track record of computational biology research led end to end with evidence of impact (publications, preprints, released datasets/tools, or guiding program direction)
  • Demonstrated breadth across multiple areas of computational biology
  • Proficient in one or more programming languages used in scientific computing; comfortable with large datasets in Linux and cloud compute environments
  • Ability to take an ambiguous biological question, scope the analysis, and produce actionable results for experimentalists
  • Ability to communicate computational results clearly to both biologists and ML researchers

Skills

Required:Computational biologyData analysis pipelinesPhylogenetics and comparative genomicsExperiment design collaborationCloud computingCommunication
Nice to have:Structural bioinformatics

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space
Last updated Jul 22, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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