Research Scientist, Life Sciences (Large Molecules, Antibody Design)
Anthropic · San Francisco, CA
Frontier labonsitesenior
At a glance
Highlights
- Drive therapeutic antibody programs end to end from target to candidate selection.
- Close the loop between AI-designed antibodies and lab experimental data.
- Pressure-test AI hypotheses against real drug-candidate standards.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
Antibody engineer who has shepherded therapeutics toward the clinic and thrives at the AI-biology interface, eager to test computational designs in the lab and share results openly.
Requirements
- PhD in biochemistry, protein engineering, immunology, molecular biology or related field
- Experience taking at least one therapeutic antibody from discovery through candidate selection and IND-enabling studies
- Working knowledge of antibody IND requirements across pharmacology, PK, toxicology and CMC
- Comfort navigating ambiguity in a rapidly evolving research environment
- Ability to work independently and collaborate cross-functionally with strong communication skills
- remote policy
- Fully on-site
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google
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