Life Sciences Subject Matter Expert at Turing

Life Sciences Subject Matter Expert | Contractor | Remote | Pay Varies

About the role

Turing works with frontier AI labs on high-quality training data, evaluations, and engineering talent. They are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench, a non-code benchmark. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems. Tasks are not executed and no programming is required. Inputs may include scientific text, structured data, sequences, experimental results, and other scientific evidence depending on project requirements.

Who this is for

Life scientists who want to author rigorous scientific-reasoning problems with objectively defensible answers. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit. It is not for people who want to build tasks where agents write and execute code; Turing lists separate roles for that (GeneBench Pro, Agentic Life Sciences, Terminal Bench Science).

What you will do

• Design novel, challenging life sciences problems requiring advanced scientific reasoning.
• Ground tasks in realistic research scenarios, experiments, biological datasets, figures, sequences, structures, or scientific evidence.
• Write clear questions with well-defined, objectively defensible answers, plus rigorous expert reference answers explaining the scientific reasoning required.
• Ensure tasks require synthesis and interpretation rather than simple factual recall.
• Validate all biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative scientifically valid interpretations, and insufficiently constrained questions.
• Create tasks capable of distinguishing frontier AI models based on scientific reasoning ability.
• Document outputs clearly and keep them reproducible where applicable.
• Maintain high quality and throughput while incorporating reviewer feedback.

Required qualifications

• Ph.D., postdoctoral experience, or equivalent advanced research experience in the Life Sciences.
• Strong expertise in at least one biological discipline, such as molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, or pharmacology.
• Demonstrated ability to interpret scientific experiments, data, and research findings.

Preferred

• Experience designing graduate-level scientific problems or assessments.
• Strong familiarity with experimental design and interpretation.
• Experience reviewing scientific manuscripts or research.
• Ability to translate complex scientific concepts into precise, self-contained problems.
• Experience evaluating LLM-generated scientific responses.

Bonus points for

• Publications in strong peer-reviewed journals or conferences.
• Teaching or mentoring experience at the graduate level.
• Experience with AI/ML evaluation datasets.