Research Scientist (Life Sciences, Computational)

Location: San Francisco, CA

Salary: $300,000 - $320,000 USD (annual)

Company

Anthropic builds reliable, interpretable, and steerable AI systems.

What you will do

• Build, run, and maintain analysis pipelines for experimental programs (sequence analysis at petabyte scale, structural bioinformatics, phylogenetic/comparative genomics, high-throughput functional screens, biological sequence modeling).
• Partner with experimental biologists to design experiments and rapidly iterate based on results.
• Use literature and curated biological knowledge bases with primary data to generate and prioritize hypotheses for experimental follow-up.
• Stand up and maintain computational infrastructure (data ingestion, workflow orchestration, internal databases, and researcher/agent interfaces).
• Use Claude and internal agent frameworks to produce analyses, and feed learnings back to model-improvement and product teams as evaluations, datasets, and failure cases.
• Take on analyses across projects as priorities shift, emphasizing breadth and flexibility.

Requirements

• PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative/biological field (or equivalent industry research experience).
• Led end-to-end computational biology research from question to result, with evidence of impact (publications, preprints, released datasets/tools, or research that changed a program’s direction).
• Demonstrated breadth across multiple areas of computational biology.
• Proficiency in one or more programming languages used in scientific computing; comfortable working with large datasets in Linux and cloud compute environments.
• Ability to scope an ambiguous biological question into an analysis that an experimentalist can act on.
• Clear communication of computational results to both biologists and ML researchers.

Nice to have

• Hands-on experience in experimental biology, or experience designing experiments alongside experimentalists.
• Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data.
• Deep expertise in one or two areas of computational biology (e.g., structural biology, metagenomics, single-cell genomics, protein design).

Culture & Benefits

• Location-based hybrid policy: expect to be in one of the offices at least 25% of the time.
• Competitive compensation and benefits, with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and an office space designed for collaboration.
• Visa sponsorship available; not guaranteed for every role/candidate.

Hiring process

• Application review by Anthropic recruiters (recruiters contact only from @anthropic.com or vetted agencies).
• Interview process focused on research fit and ability to communicate computational results to both biologists and ML researchers.