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PhD Biology Expert / Life Sciences Expert

See listing · Turing · remote

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3 Nov 2026Open––Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the Turing assessment and interviews.

What the work is

Role Overview

Turing is partnering with a leading AI research lab to bring domain experts directly into frontier AI development. We are looking for PhD-level scientists in biology and the life sciences to work alongside the lab’s research teams, applying deep scientific expertise to advance and evaluate cutting-edge AI models. This is a chance to shape how the most advanced AI systems reason about science.

Who gets hired

  • PhD in Biology or a Life Sciences field (e.g., molecular biology, genetics, biochemistry, cell biology, neuroscience, immunology, microbiology, bioinformatics/computational biology, or related).
  • Hands-on research experience, ideally with peer-reviewed publications.
  • Ability to create problems that are genuinely difficult, beyond textbook-level knowledge.
  • Excellent written English and the ability to explain complex scientific reasoning clearly.
  • Strong attention to detail and comfort working independently in a remote setting.

Responsibilities

  • Design challenging, research-grade scientific problems and tasks that test the limits of frontier AI models and agents.
  • Evaluate model and agent outputs for scientific accuracy, rigor, and reasoning quality, and give clear, structured feedback.
  • Help build and refine benchmarks and datasets in your area of expertise.
  • Identify where models fail on expert-level biology and explain why.
  • Collaborate with researchers to translate scientific workflows into tasks AI systems can be trained and tested on.
  • Adapt to evolving project scopes as research priorities shift.

Nice to Have

  • Experience with Python, R, or command-line tools for scientific computing or data analysis.
  • Background in computational biology, bioinformatics pipelines, or lab-to-data workflows.
  • Prior experience with AI training, evaluation, data annotation, or benchmark creation.
  • Postdoctoral or industry R&D experience.

Offer Details

  • Commitments Required: 40 hours per week with 8 hours of overlap with PST.
  • Engagement type: Contractor
  • Engagement Length: upto 5 weeks

Evaluation Process -

  • Application and profile review
  • AI interview (mandatory)

The platform posted this on 2 Nov 2026.

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