PhD Biology Expert / Life Sciences Expert
About this role
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)
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