Biology PhD - Scientific Coder

Mercor; Berlin; Vor Ort; EUR 39.000 - 55.000; Vollzeit

Zusammenfassung

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

Source materials from papers, datasets, or scenarios, write prompts, and develop grading criteria. Calibrate against frontier models so tasks challenge modern systems. Engagement lasts 6 weeks, part-time with 20+ hours per week, start ASAP.

Qualifikationen

• PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
• Demonstrated depth in at least two subdomains (ecology, biochemistry, genetics).
• Working proficiency in Python, R, or another relevant programming language.
• Comfortable with Git/GitHub and running code in Docker with a PR workflow and automated QC.

Aufgaben

• Source material: published paper, Kaggle dataset, open-source repo, or a designed scenario.
• Write scientific prompts based on the input.
• Build grading criteria that define a correct answer.
• Calibrate tasks against frontier models to ensure strong models fail more often than they succeed.

Kenntnisse

Python

R

Scientific computing

Ausbildung

PhD in biology or related field

Master's in biology or related field

Tools

Git/GitHub

Docker

Jobbeschreibung

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new 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