Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) Mercor is partnering with leading AI labs on a recent 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/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 #J-18808-Ljbffr

📌 Biology Phd - Scientific Coder (Toronto)
🏢 Obsidian
📍 Toronto