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First seen by our source: 21 days ago

Biology PhD - Scientific Coder

@ Mercor

Toronto, Ontario

$70/hr
Apply now
SIGNALS

Overview

Mercor is hiring a remote contract Biology PhD to create scientific coding research problems for AI model training. The work covers sourcing research material, writing prompts and grading criteria, and calibrating tasks against frontier models. The role pays $70 per hour for 20+ hours a week over six weeks, with an immediate start.

Pay:

$70 an hour

Responsibilities:

  • Source material from published papers, Kaggle datasets or repositories
  • Write scientific prompts and grading criteria
  • Calibrate tasks against frontier AI models
  • Use Python, R or other languages for scientific computing
  • Work with Git/GitHub and Docker for quality checks

Requirements summary:

  • PhD in biology or a closely related field
  • Depth in at least two subdomains: ecology, biochemistry, genetics
  • Proficiency in Python, R or another relevant language
  • Comfortable with Git/GitHub and Docker
  • Peer-reviewed publications preferred

Tools & skills

Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-17
Source record updated
2026-10-17

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentResearch & science
Hours per week20
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationDoctorate (required)
Fields of studybiology, biological sciences, biochemistry, genetics, ecology

Summary and details written by AI from the posting; the employer’s posting is the authority.

Mercor

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Full company description

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

LinkedIn followers
654,507
People associated on LinkedIn
5,250
Reported office locations
  • San Francisco, California 94105, US
Business categories
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Mercor
Profile identifies a recruitment agency
Yes
Reported total investment
483,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2023
Open jobs on Jobsy1,626
LinkedInView page
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: [email protected]

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

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