JOB-2143
A fast-growing AI company that builds expert-grade training data and evaluations for frontier AI labs is hiring a life sciences expert to own data quality across its life sciences programs. This is a new role you will help define.
Your scope
- Own quality end to end across life sciences programs and define what expert-level data looks like
- Build the tools and systems that run quality across the company, from AI-powered review to automated evals
- Turn your scientific judgment into AI reviewers that catch what an expert would catch
- Partner with leading AI researchers to translate model needs into quality standards and expert-graded ground truth sets
- Find defects and model failure modes, trace them to root cause and fix the underlying process
What you bring
- PhD in the life sciences (neuroscience or oncology preferred; biology, chemistry or related fields considered)
- 4+ years combining scientific research with operations work at a high-growth startup
- Hands-on experience building and iterating on prompts, evals, rubrics or ground truth sets
- Strong judgment to tell expert-level work from work that only looks expert
- Comfort driving through ambiguity and creating structured processes
On-site in New York, NY or San Francisco, CA. Discretionary bonus, competitive equity and relocation support. Visa transfers considered.
