Biology PhD Scientist for AI Benchmark Coding (6 Weeks, Part-Time)

Obsidian; San Francisco (CA); On-site; USD 96,000 - 138,000; Part time

Job summary

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks for a new benchmark in scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains require depth in biology with focus on ecology, biochemistry, or genetics. You will source material, write prompts, build grading criteria, and calibrate against frontier models during a 6-week, part-time engagement starting immediately.

Qualifications

• PhD in biology or closely related field.
• Depth in at least two subdomains: ecology, biochemistry, genetics.
• Proficiency in Python or R for scientific computing.
• Experience with Git/GitHub and running code in Docker — authoring runs through PR workflow with automated quality checks.

Responsibilities

• 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

Skills

Ecology

Biochemistry

Genetics

Education

PhD in biology or related field

Tools

Python

R

Git/GitHub

Docker

Job description

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks for a new benchmark in scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains require depth in biology with focus on ecology, biochemistry, or genetics. You will source material, write prompts, build grading criteria, and calibrate against frontier models during a 6-week, part-time engagement starting immediately.