[Contract] Biology PhD Coding Experts

1000scholars; United States; Remote; USD 273.000 - 382.000; Teilzeit

Benefits dieser Stelle

Weekly payments

Fully remote work

Zusammenfassung

Mercor seeks Biology PhD coding experts for a remote, 6-week engagement. You will author executable research problems in biology domains and write prompts, then build grading criteria and calibrate against frontier models. The project operates with a PR workflow and automated quality checks on GitHub, using Python/R and Docker.

Start date is immediate; part-time, 20+ hours/week. Applicants should hold a PhD in biology or related field, demonstrate depth in at least two subdomains, and show

Qualifikationen

• PhD in biology or a closely related field.
• Depth in at least two subdomains: ecology, biochemistry, genetics, or closely related areas.
• Working proficiency in Python, R, or another language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker with a PR workflow and automated checks.

Aufgaben

• Source your own material: papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on the input.
• Build grading criteria to define a correct answer.
• Calibrate prompts against frontier models to ensure robustness.

Kenntnisse

Python

R

Git/GitHub

Docker

Ausbildung

PhD in biology or related field

Tools

Python

R

Git

Docker

Jobbeschreibung

Biology PhD Coding Experts

Mercor

Remote

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

Contract and Payment Terms

You will be engaged as an independent contractor.

This is a fully remote role that can be completed on your own schedule.

Projects can be extended, shortened, or concluded early depending on needs and performance.

Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Payments are weekly on Stripe or Wise based on services rendered.

Please note: We are unable to support H1-B or STEM OPT candidates at this time.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.