About the role

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve. Domains — depth required in at least two subdomains (with a coding focus)Biology — ecology, biochemistry, genetics
What you'll do: Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design Write scientific prompts based on the input Build the grading criteria that define a correct answer Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed Required PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field Demonstrated depth in at least two of the following subdomains: ecology, biochemistry, genetics Working proficiency in Python, R, or another relevant programming language for scientific computing Comfortable with Git/Git Hub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks Preferred Publications in peer-reviewed journals Prior scientific software or research engineering experience Engagement
Duration: 6 weeks Commitment: part-time, 20+ hours per week
Start date: immediate ProcessA 25-minute conversational interview covering your background, experience, and motivations Follow up within a few days with next steps and onboarding

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JOB OVERVIEW

Experience level

Senior

Location

San Diego, CA

Occupation

Bioinformatics Scientists

Industry

Research and Development in Biotechnology (except Nanobiotechnology)

Posted

today

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