PhD Biology Expert / Life Sciences Expert

Design challenging biology problems to evaluate advanced AI models.

About Turing:
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

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.

Requirements:

• 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)

Skills: Communication