AI Biologist - Genetic Medicines

About the Role:

• Work with software engineers and scientists to build datasets and AI agent tasks across the end-to-end genetic medicines pipeline.
• Evaluate PK/PD, immunogenicity, and GLP toxicology findings across modalities and development stages.
• Reconstruct program go/no-go decisions from multi-source data.

What You'll Do:

• Design realistic case studies covering target validation, drug design, screening, chemistry optimization, and candidate nomination.
• Review and stress-test agent outputs for scientific soundness, catching reasoning that is textbook-correct but not defensible in a program review.
• Calibrate AI agent confidence on preclinical data with incomplete or conflicting signals.

Who You Are:

• Advanced degree (MS/PhD/PharmD) in molecular biology, genetics, gene therapy, or related field, with 3+ years of hands-on experience in gene therapy, gene editing, or RNA therapeutics.
• Direct experience with drug design, screening, delivery optimization, or IND-enabling study design.
• Strong scientific writing and familiarity with AI agent use, comfortable operating in uncertainty.

Compensation & Culture:

• Pay: $140K–$180K OTE, with no ceiling; first 4 weeks paid at full OTE.
• Full-time W-2 in the US with health, dental, vision, 401(k), and 12 days PTO; contractor options outside the US.
• Culture of radical transparency, high agency, and respect; company outings, team off-sites, and remote-friendly onsite in SF.