Biology PhD Coding Experts

Weekday 1; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Weekday 1 is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that frontier models cannot solve today.

The role requires deep knowledge in biology with at least two subdomains, and programming proficiency in Python or R. This is a fully remote, independent-contractor engagement lasting about six weeks, with a 20+ hour weekly commitment.

Qualifications

• PhD in biology or related field required.
• Demonstrated depth in at least two subdomains: ecology, biochemistry, genetics.
• Proficiency in Python or R for scientific computing.
• Comfortable with Git/GitHub and running code in Docker with a PR workflow and automated quality checks.

Responsibilities

• Source your own material: published paper, Kaggle dataset, open-source repo, or your own scenario.
• Write scientific prompts based on input.
• Build grading criteria that define correct answers.
• Calibrate against frontier models to ensure tasks challenge strong models.

Skills

Python

R

Git/GitHub

Docker

Scientific computing

Education

PhD in Biology

Biological sciences

Tools

Jupyter

Job description

This role is for one of our clients

Compensation: $70 per hour

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

We are 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

Requirements

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

Process

1. Upload your resume and application form
2. A 25-minute conversational interview covering your background, experience, and motivations
3. Follow up within a few days with next steps and onboarding

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

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 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.