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 solid 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

Process
Upload your resume and application form
A 25-minute conversational interview covering your background, experience, and motivations
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.
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📌 Biology Phd: Scicode Ai Benchmark Engineer New South Wales
🏢 Mercor
📍 New South Wales