Mercor
Computational Biologist - Fully Remote | Upto $90/hr Hourly
MercorAustralia1 day ago
Part-timeRemote FriendlyScience
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: Bioinformatics Researcher

Type: Contract

Compensation: $60–$90/hour

Location: Remote

Duration: 1–2 months

Commitment: 10–20 hours/week

Role Responsibilities

  • Evaluate AI model capabilities in bioinformatics to design and execute complex workflows.
  • Develop benchmarks using real-world, published scientific data to test model performance.
  • Collaborate with AI labs to ensure rigorous scientific reasoning and tool proficiency.
  • Work independently and asynchronously to meet project goals and deadlines.
  • Improve model outputs by providing structured feedback and enhancing training data quality.

Qualifications

Must-Have

  • Must be a current graduate student (M.S. or Ph.D.) or hold a higher degree in Bioinformatics, Computational Biology, Genomics, or a related field.
  • Experience using bioinformatics command line tools.
  • Exceptional attention to detail and problem-solving skills.
  • Strong written and verbal communication skills.

Interview Process

  • 15 mins interview.
  • Decisions made within four days following assessment completion.

Compensation & Legal

  • Hourly contractor classification.
  • Paid weekly via Stripe Connect.

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/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.

,

Key Skills

Ranked by relevance