Life Sciences Subject Matter Expert - Biology

About this opportunity

Turing is seeking Life Sciences Subject Matter Experts to design advanced scientific-reasoning tasks for LifeSciBench. This non-coding role focuses on biological knowledge, experimental interpretation, data analysis, and rigorous scientific reasoning. The work involves creating graduate-level problems based on realistic research scenarios, experimental results, biological data, figures, sequences, structures, and literature-style evidence, with an emphasis on testing synthesis and interpretation rather than factual recall.

What the listing describes

• ✓Design novel, graduate-level life sciences problems grounded in realistic research contexts
• ✓Develop clear questions and rigorous reference answers with defensible scientific reasoning
• ✓Interpret experiments, datasets, figures, sequences, structures, and other biological evidence
• ✓Validate biological claims, calculations, assumptions, and conclusions
• ✓Identify ambiguity, alternative interpretations, and insufficiently constrained questions
• ✓Ensure tasks are self-contained, reproducible where applicable, and clearly documented
• ✓Incorporate reviewer feedback while maintaining quality and throughput

Requirements shown on the source

• ✓Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences
• ✓Strong expertise in at least one biological discipline
• ✓Demonstrated ability to interpret scientific experiments, data, and research findings
• ✓Strong scientific writing skills and attention to precision
• ✓Background in a relevant life sciences discipline such as molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, pharmacology, or related fields

Relevant backgrounds mentioned

• ✓Experience designing graduate-level problems, assessments, or research exercises
• ✓Experience reviewing scientific manuscripts or research
• ✓Ability to translate complex scientific concepts into precise, self-contained questions
• ✓Experience evaluating AI-generated scientific responses or working with AI/ML evaluation datasets
• ✓Peer-reviewed publications or graduate-level teaching and mentoring experience