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Biology PhD - Scientific Coder

Mercor

Role overview

Qualifications

  • PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
  • Depth in at least two subdomains: ecology, biochemistry, genetics.
  • Proficiency in Python, R, or another relevant programming language.
  • Comfortable with Git/GitHub and Docker.

Responsibilities

  • Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
  • Write scientific prompts and develop grading criteria for correct answers.
  • Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
  • Utilize Python, R, or other programming languages for scientific computing.

Key facts

Hard skills

Python (Programming Language) Biology Ecology Biochemistry Genetics Mathematical Software Engineering Research

Other skills

  • Collaboration
  • Problem Solving
  • Time Management

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Biology PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
  • Write scientific prompts and develop grading criteria for correct answers.
  • Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
  • Utilize Python, R, or other programming languages for scientific computing.
  • Work with Git/GitHub and Docker for code execution and quality checks.
  • Collaborate asynchronously and independently to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
  • Depth in at least two subdomains: ecology, biochemistry, genetics.
  • Proficiency in Python, R, or another relevant programming language.
  • Comfortable with Git/GitHub and Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

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

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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