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

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📌 Biology PhD - Scientific Coder (Ontario)
🏢 Obsidian
📍 Ontario