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Statistical Bioinformatics PhD - Fully Remote | Upto $120/hr

Mercor

Role overview

Qualifications

  • PhD in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or related field.
  • Deep experience analyzing biological or biomedical data, especially genomics and related omics datasets.
  • Professional fluency in R and Python.
  • Strong foundation in statistical modeling and experimental design.

Responsibilities

  • Complete realistic, multi-step scientific data-analysis tasks in computational genomics, quantitative biology, and translational biomedicine.
  • Independently inspect datasets, perform quality control, and execute analyses in R and Python.
  • Navigate ambiguous research workflows by identifying key analytical decisions and potential confounders.
  • Collaborate with a multidisciplinary team of scientists and AI research specialists.

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: Computational Genomics, Statistical Bioinformatics Expert (PhD)
Type: Contract
Compensation: $120/hour
Location: Remote

Role Responsibilities

  • Complete realistic, multi-step scientific data-analysis tasks in computational genomics, quantitative biology, and translational biomedicine.
  • Independently inspect datasets, perform quality control, and execute analyses in R and Python.
  • Navigate ambiguous research workflows by identifying key analytical decisions and potential confounders.
  • Use scientific software, code, and command-line tools to generate reproducible analyses and structured outputs.
  • Interpret results in the context of biological or translational questions, communicating assumptions and conclusions.
  • Collaborate with a multidisciplinary team of scientists and AI research specialists.

Qualifications

Must-Have

  • PhD in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or related field.
  • Deep experience analyzing biological or biomedical data, especially genomics and related omics datasets.
  • Professional fluency in R and Python.
  • Strong foundation in statistical modeling and experimental design.
  • Experience with multi-step computational research workflows.
  • Clear scientific writing and documentation skills.

Preferred

  • Familiarity with reproducible research practices, including notebooks, scripts, and version control.

Compensation & Legal

  • Project-based engagement
  • Competitive, expertise-based pay

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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