About the role
We are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench. Unlike coding-focused benchmarks, this role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems. This is a non-code benchmark: tasks are not executed, and no programming is required. Main tasks listed: 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.
Experience
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; Relevant backgrounds include molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, pharmacology, and related life sciences disciplines
Selection process
Apply through the official Turing page (free account required). The listing describes this selection process: Job interest form; Assessment; Based on the answers and scores, you will be contacted to discuss the pre-onboarding requirements.
Eligibility
Not stated on the listing (remote)