AI Benchmark Scientist: Biochemistry & Genetics

Obsidian; Greater London; Remote; GBP 40,000 - 50,000; Part time

Job summary

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) as part of a collaboration with leading AI labs to establish a new benchmark for scientific computing. You will author original, executable research problems that frontier models cannot solve.

Based in Greater London, you will source material, write prompts, and build grading criteria, calibrating against frontier models so that tasks ship only when models struggle.

Qualifications

• PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
• Depth in at least two of 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.

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

Python

R

Git/GitHub

Docker

Education

PhD in biology or closely related field

Tools

Python

R

Job description

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) as part of a collaboration with leading AI labs to establish a new benchmark for scientific computing. You will author original, executable research problems that frontier models cannot solve.

Based in Greater London, you will source material, write prompts, and build grading criteria, calibrating against frontier models so that tasks ship only when models struggle.