Design, execute, and iterate experimental programs: molecular biology, biochemistry, assays.
Partner with computational biologists to produce high-quality, analysis-ready data.
Generate and prioritize hypotheses from literature, knowledge bases, and predictions.
Use Claude and internal agents for planning, protocols, and data interpretation.

🎯 Requirements

Ph.D. in molecular biology, biochemistry, bioengineering, or computational biology.
Track record bridging biology with computational approaches.
Basic proficiency in Python and ML development practices.
Published research or practical experience in scientific AI.
Familiarity with ML techniques and model training; UniProt/GenBank/PDB.
Comfort navigating ambiguity in evolving research environments.

🎁 Benefits

Competitive compensation and benefits.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Collaborative SF office and team culture.

🛃 Visa sponsorship

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