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Computational Biologist - AI Trainer

Job summary

New York

Work model

Fully remote
Only United States
1 month ago
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

Quantitative Biology Expert

Type

Contract

Compensation

$85--$95/hour

Location

Remote

Commitment

20 hours/week

Role Responsibilities

  • Author and review technical tasks to evaluate AI model performance on quantitative biology problems.
  • Produce original problem sets grounded in sequence alignments, phylogenetic trees, expression heatmaps, and pathway figures.
  • Write reference solutions and apply structured quality checks to ensure task accuracy.
  • Collaborate with AI research teams to improve training data quality and downstream performance.
  • Work independently and asynchronously with a flexible schedule to meet deadlines.

Qualifications

Must-Have

  • PhD in Computational Biology, Bioinformatics, or Quantitative Biology; or MS in Bioinformatics or Computational Biology with 3 years applied research or industry experience; or BS in Biology, CS, or Math with 5 years applied quantitative biology or bioinformatics experience.
  • Working fluency in at least two of: sequence analysis, phylogenetics, systems biology, statistical genetics, computational modeling.
  • Comfortable reading and interpreting sequence alignments, phylogenetic trees, expression heatmaps, and pathway figures.
  • Clear technical writing; able to articulate reasoning step-by-step in written form.

Compensation & Legal

  • Hourly contractor
  • Paid weekly

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.#hiringmercor