Mercor

Computational Biology Scientist

Mercor WorkFromHome

Stellenbeschreibung:

Computational Biology Scientist

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 .

Base Pay Range

$50.00/hr - $60.00/hr

Role Responsibilities

  • Evaluate scientific correctness, conceptual rigor, and depth of LLM‑generated responses across biology and biomedical domains.
  • Review outputs involving experimental design, data interpretation, and theoretical frameworks in biological sciences.
  • Identify factual inaccuracies, reasoning errors, and conceptual misunderstandings in model outputs.
  • Benchmark model performance on advanced biological and interdisciplinary research problems.
  • Work independently and asynchronously using proprietary evaluation tools.

Qualifications

  • PhD (candidate/recipient) or Master’s degree in Biology, Molecular Biology, Biochemistry, Biotechnology, Bioinformatics, or a closely related field.
  • Strong command of graduate‑level biological concepts, experimental reasoning, and data interpretation.
  • Excellent written communication and analytical abilities.
  • Ability to work independently in a remote, asynchronous setting.

Compensation & Legal

  • Contractor position via Mercor.
  • Weekly payments through Stripe Connect.

Application Process (Takes 20–30 mins to complete)

  • Upload resume.
  • Complete an AI interview based on your resume.
  • Submit final application form.

Resources & Support

  • For details about the interview process and platform information, please see
  • 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:

    30 Nov 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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