Greenhouse ·
full-timeResearch Scientist, Life Sciences (experimental Biology)
Anthropic · San Francisco, CA
Anthropic is a company focused on creating safe, interpretable and steerable AI systems, best known for its Claude family of models. The Life Sciences team combines cutting‑edge AI with hands‑on biological research to accelerate discovery at the intersection of computation and experiment. In this internship role you would design and run molecular biology, biochemistry, protein and nucleic acid assays, develop high‑throughput functional screens, and generate analysis‑ready data that feeds directly into computational models. You would work closely with computational biologists to turn experimental results into hypotheses, using Claude and internal agent frameworks for protocol planning, data interpretation and rapid iteration. The position suits candidates with a PhD in a biological science who have demonstrated ability to link domain knowledge with computational approaches, basic Python proficiency, familiarity with ML practices and biological databases, and who thrive in fast‑paced, ambiguous environments while balancing rigorous science with rapid impact.
Education
- Level: Bachelor's degree, Postgraduate
- Courses: Ph.D., Bachelor's
- Specializations: Molecular Biology, Biochemistry, Bioengineering, Computational Biology
Key Skills
Notes
['Annual Salary: $300,000‑$320,000 USD', 'Internship position', 'Location: San Francisco, CA']
About the Role We are seeking an exceptional Research Scientist to join Anthropic’s Life Sciences team, a founding member role at the intersection of computational and experimental biology. Responsibilities Design, execute, and iterate on experimental programs: molecular biology, biochemistry, protein and nucleic acid characterization, high‑throughput functional screens, assay development. Partner with computational biologists to design experiments and generate analysis‑ready data. Use Claude and internal agent frameworks for experimental planning, protocol development, and data interpretation. Generate and prioritize hypotheses combining experimental judgment, literature, biological knowledge bases, and computational predictions. Requirements Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or related field. Track record of bridging biological knowledge with computational approaches. Basic proficiency in Python and familiarity with ML development practices. Familiarity with modern machine learning techniques, model training, biological databases (UniProt, GenBank, PDB) and computational biology tools. Eligibility Minimum education: Bachelor’s degree or equivalent combination of education, training, and experience. Minimum years of experience: not specified.
Skills for this role
Required skills
Also mentioned in the listing
| Role | Research Scientist, Life Sciences (experimental Biology) |
|---|---|
| Company | Anthropic |
| Location | San Francisco, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-22 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Research Scientist, Life Sciences (experimental Biology) at Anthropic: frequently asked questions
- Who can apply for the Research Scientist, Life Sciences (experimental Biology) role at Anthropic?
- The listing asks for Bachelor's degree, Postgraduate degree (Ph.D., Bachelor's); freshers are welcome.
- What skills does the Research Scientist, Life Sciences (experimental Biology) role require?
- The listing highlights Python, Machine Learning development practices, Claude, internal agent frameworks, modern machine learning techniques, model training methodologies, UniProt, GenBank, PDB, computational biology tools. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Research Scientist, Life Sciences (experimental Biology) position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Research Scientist, Life Sciences (experimental Biology) role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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