Weekday AI (YC W21)
Bioinformatics PhDs
Weekday AI (YC W21)Australia2 days ago
Full-timeRemote FriendlyOther
This role is for one of our clients

We are collaborating with leading AI research initiatives focused on applying artificial intelligence to complex scientific challenges in bioinformatics. The goal of this project is to build an advanced benchmark to evaluate AI model performance in executing complete bioinformatics workflows — from raw sequencing data to meaningful analysis, guided by natural language prompts.

This work requires a combination of bioinformatics expertise, tool proficiency, and strong scientific reasoning. Researchers will help design benchmark tasks grounded in real-world, peer-reviewed scientific data.

Requirements

Why You're a Great Fit

You are an ideal candidate if you:

  • Are a current graduate student (M.S. or Ph.D.), Postdoctoral Fellow, or Research Scientist in Bioinformatics, Computational Biology, Genomics, or a closely related quantitative discipline.
  • Have hands-on experience using bioinformatics command-line tools.
  • Possess exceptional attention to detail, analytical rigor, and problem-solving skills.
  • Communicate clearly and effectively in both written and verbal forms.

Role Highlights

  • Flexible workload: 10-20 hours per week, with the potential to scale up to 40 hours.
  • Fully remote and asynchronous work schedule.
  • Short-term engagement: Initial commitment of 1-2 months, with opportunities for extension based on project needs.
  • Interview process: A brief 15-minute discussion precedes selection, with decisions typically finalized within four days of assessment completion.
  • Eligibility: Applicants must be based in the U.S., UK, Canada, Australia, or New Zealand.

Compensation And Legal Details

  • Type: Hourly contract position
  • Payment: Weekly via Stripe Connect
  • Classification: Independent contractor

This is an opportunity to contribute directly to cutting-edge research at the intersection of AI and bioinformatics, shaping the next generation of intelligent scientific systems.

Key Skills

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