We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.
The Role
You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in biology, biochemistry, or chemistry to help fine-tune large language models (like ChatGPT) built for drug discovery. Your ability to spot flawed controls, ambiguous steps, and unrealistic protocols is exactly what teaches AI to reason like a real scientist.
What You'll Do
Review, curate, and validate experimental protocols across domains including CRISPR/Genome Editing, Molecular Biology, Sequencing/Genomics, RNA/Protein Analysis, Single-Cell Profiling, and Cell Engineering/Screening
Provide expert scientific feedback to AI researchers from leading labs, shaping how AI models interpret experimental design, controls, and validation in real-world drug discovery workflows
What We're Looking For
PhD in Biology, Biochemistry, Chemistry, Chemical Biology, Molecular Biology, Bioengineering, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
3+ years of active, hands-on experimental research experience
Deep expertise across multiple protocol categories listed above
Offer Details
Commitment: 20–40 hours/week (with overlap in PST)
Compensation: Highly competitive, top 10% of industry rates
Engagement: Contractor/freelancer (no medical or paid leave)
Duration: 1 month, with possible extension
Remote: Fully remote, collaborative environment
Seniority level
Mid-Senior level
Employment type
Full-time
Industries
Technology, Information and Internet
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