Mercor

Bioinformatics PhD - Data Analysis Expert

Stellenbeschreibung:

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: Bioinformatician
Type: Contract
Compensation: $60–$85/hour
Duration: 4 weeks
Commitment: Independent work

Role Responsibilities

  • Solve challenging bioinformatics data-analysis problems independently.
  • Analyze large biological datasets and submit complete analytical workflows as Jupyter notebooks .
  • Inform frontier AI model evaluation on real scientific reasoning.
  • Work under a blind protocol, tackling tasks without prior context.
  • Utilize Python and/or R for bioinformatics pipelines.
  • Produce well-documented, reproducible Jupyter notebooks .

Qualifications

Must-Have

  • PhD or Master's degree in bioinformatics, computational biology, genomics, or related field.
  • Experience with RNA-seq analysis , variant calling , metagenomic classification , epigenomic profiling , single-cell analysis , or population genetics .
  • Proficiency in Python and/or R .
  • Familiarity with command-line tools (e.g., samtools ).
  • Strong independent problem-solving ability.

Start Date

  • March ; tasks assigned on a rolling basis.

Interview Process

  • Short screening questionnaire to assess subdomain expertise and tool familiarity.

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:
  • For any help or support, reach out to:

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

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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Mär 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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