Anthropic
Research Scientist, Life Sciences
$300K–$320K
San Francisco, CA +1 · Full-time · Posted Jun 2, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level requirements; preferred qualification: 5+ years applying ML and software engineering to biological problems.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; required field of study is relevant to the role.
- Visa sponsorship
- Visa sponsorship is available, but not guaranteed for every role and candidate; Anthropic will make every reasonable effort to obtain a visa for candidates it offers.
About the job
Build and improve Claude’s capabilities for life sciences by developing agentic tools, biology benchmarks, and product infrastructure informed by scientific workflows.
What you'll do
- Build tools, integrations, and infrastructure for Claude to perform life sciences workflows.
- Design biology evaluation benchmarks and translate biological expertise into training objectives and product requirements.
- Collaborate with product teams and external scientific users to develop and improve life sciences features.
What they ask for
- Experience applying ML and software engineering to biological problems.
- Experience in drug discovery or development at a biotech or pharma company, or fundamental academic research, with knowledge of scientific workflows.
- Strong software engineering skills, including production-quality Python, large codebases, and end-to-end infrastructure ownership.
- Hands-on experience training or fine-tuning ML models and a track record of shipping computational tools or pipelines used by biologists.
Nice to have
- 5+ years applying ML and software engineering to biological problems.
- Ph.D. in a relevant quantitative field, or equivalent industry experience.
Pay
$300,000 — $320,000 USD (base salary)
Tools
Python, RLHF, RL from verifiable rewards, SFT, UniProt, PDB, Ensembl, NCBI
AI focus
Post-train and evaluate models, develop RL environments and agentic workflows, and improve Claude’s capabilities on computational biology and other life sciences tasks.
Model-written summary · the original posting is authoritative