Role overview
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.
Responsibilities
- 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, and others
- 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
- 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
- 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
About the company
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.
Tags & focus areas
Used for matching and alerts on DevFound Parttime Remote Ai Generative Ai