Anthropic
Research Scientist, Life Sciences (Large Molecules, Process Development)
$300K–$320K
San Francisco, CA +1 · Full-time · Posted Oct 29, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 5+ years of biologics process development beyond the PhD is preferred; no fixed minimum is stated.
- Education
- PhD in biochemical engineering, chemical engineering, biochemistry, or a related field. Logistics also lists a bachelor's degree or equivalent combination of education, training, and/or experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Develop antibody and protein production workflows, experimentally evaluate AI-designed sequences, and feed manufacturing and characterization results back to research teams.
What you'll do
- Develop and run end-to-end expression, purification, characterization, and formulation workflows; build and qualify laboratory capabilities.
- Test AI-designed antibodies for manufacturability and report experimental results to research teams.
- Plan CMC paths toward IND-enabling studies, coordinate external manufacturing and technology transfer, and maintain high-quality experimental records.
What they ask for
- PhD in biochemical engineering, chemical engineering, biochemistry, or a related field.
- Demonstrated process development and manufacturing experience with antibodies or other recombinant proteins, including material for IND-enabling or clinical studies.
- Recent, sustained hands-on laboratory work.
- Ability to work independently, collaborate across teams, and communicate effectively.
Nice to have
- 5+ years of biologics process development experience beyond the PhD.
- Experience with upstream and downstream development, lab setup and automation, contract manufacturing and IND CMC contributions, statistics or coding, AI/ML in life sciences, or publications and patents.
Pay
$300,000 — $320,000 USD (base salary)
Tools
HEK293, CHO, Protein A, IMAC, SEC, CE-SDS, LC-MS, Python
AI focus
Evaluate AI-designed antibodies against experimental data for expression, stability, and manufacturability, and feed results back to research teams.
Model-written summary · the original posting is authoritative