Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) Mercor is partnering with leading AI labs on a current 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 robust 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/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

📌 Biology PhD - Scientific Coder (Toronto)
🏢 Mercor
📍 Toronto