300K–320K USD / year
Research Scientist, Life Sciences (Large Molecules, Antibody Design)
OtherOn-site — San Francisco, CA
Published on 2026-10-29
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About this role
Lead therapeutic antibody discovery and engineering programs, from target selection through candidate selection and IND-enabling studies. Evaluate AI-designed antibodies experimentally and share results with AI research teams to improve design approaches.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Life Sciences team
Stack
SPRBLIPython
What you'll do
- Design and engineer therapeutic antibodies, including format selection, humanization, affinity maturation, and Fc engineering.
- Define screening cascades covering binding, function, cross-reactivity, and developability.
- Plan progression from lead optimization through IND-enabling pharmacology, pharmacokinetics, toxicology, and CMC handoff.
- Coordinate antibody production and studies with CROs and academic partners.
- Test AI-designed antibodies and feed experimental results back to research teams.
- Maintain high-quality, well-documented experimental data and communicate findings across disciplines.
What we're looking for
- PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field.
- Therapeutic antibody discovery and engineering experience, including taking at least one antibody through candidate selection and IND-enabling studies.
- Working knowledge of antibody IND requirements across pharmacology, pharmacokinetics, toxicology, and CMC.
- Able to work independently, collaborate across functions, and navigate ambiguity.
Nice to have
- At least five years of therapeutic antibody experience beyond the PhD.
- Advanced multiple antibody programs into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents.
- Hands-on antibody expression, purification, and biophysical characterization experience.
- Experience directing CRO production, assays, and in vivo studies.
- Structural biology, computational protein design, or coding skills.
- Experience with AI or ML tools in life sciences.
- Relevant publications or patents.
Benefits
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching