300K–320K USD / year
Research Scientist, Life Sciences (Large Molecules, Process Development)
OtherOn-site — San Francisco, CA
Published on 2026-10-29
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About this role
Develop and run end-to-end antibody and recombinant protein production workflows, from high-throughput screening to gram-scale lead material. Evaluate AI-designed molecules for manufacturability and feed experimental results back to AI and biology research teams, while building CMC paths toward IND-enabling studies.
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
Anthropic’s Life Sciences team
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What you'll do
- Develop expression and purification processes for antibodies and recombinant proteins.
- Characterize proteins using analytical methods and binding assays.
- Build and qualify laboratory equipment and scalable production workflows.
- Evaluate AI-designed antibodies for manufacturability and report experimental results.
- Plan CMC development toward IND-enabling studies and coordinate with external manufacturers.
- Maintain high-quality experimental records and communicate findings across teams.
What we're looking for
- PhD in biochemical engineering, chemical engineering, biochemistry, or a related field.
- Hands-on process development and manufacturing experience with antibodies or recombinant proteins, including material for IND-enabling or clinical studies.
- Recent, sustained laboratory work.
- Ability to work independently, navigate ambiguity, and collaborate across functions.
- Strong written and verbal communication skills.
Nice to have
- 5+ years of biologics process development experience beyond the PhD.
- Expertise in upstream and downstream development, including cell line development, bioreactors, chromatography, and filtration.
- Experience establishing a protein production laboratory and using automation or high-throughput workflows.
- Experience with technology transfer, GMP manufacturing at CDMOs, or IND CMC contributions.
- Statistics, design of experiments, or coding for data analysis and automation.
- Experience using AI or ML tools in life sciences.
- Publications or patents demonstrating scientific impact.
Benefits
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching