Chemistry PhD Coding Experts

Official role description

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) • Chemistry — quantum chemistry, computational chemistry — 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 chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field • Demonstrated depth in both of the following subdomains: quantum chemistry and computational chemistry • Working proficiency in Python, R, or another relevant programming language for scientific computing • Comfortable with Git/GitHub 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 — Process — 1. Upload your resume and application form 2. A 25-minute conversational interview covering your background, experience, and motivations 3. Follow up within a few days with next steps and onboarding — Apply today and put your research expertise to work building the next generation of scientific AI.