Life Sciences SME - Biology at Turing

Life Sciences Subject Matter Expert – Biology | Contractor | Remote | Turing

Turing is seeking experienced Life Sciences Subject Matter Experts to design advanced scientific reasoning tasks for LifeSciBench — a cutting-edge benchmark aimed at evaluating frontier AI models on deep biological knowledge and scientific interpretation. No coding required. This role is ideal for life scientists who excel at constructing rigorous, experiment-grounded problems with objectively defensible answers.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing accelerates frontier research through high-quality data, advanced training pipelines, and top-tier AI researchers specializing in coding, reasoning, STEM, and more.

Key Responsibilities

• Design novel, challenging life sciences problems that require advanced scientific reasoning.
• Create tasks grounded in realistic research scenarios, experiments, biological datasets, figures, sequences, structures, and scientific evidence.
• Develop clear questions with well-defined, objectively defensible answers.
• Write rigorous expert reference answers explaining the scientific reasoning required.
• Ensure tasks emphasize synthesis and interpretation over simple factual recall.
• Validate all biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative valid interpretations, and insufficiently constrained questions.
• Create tasks capable of distinguishing frontier AI models based on scientific reasoning ability.
• Maintain high quality and throughput while incorporating reviewer feedback.

Requirements

• 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 & Genomics, Cell Biology, Biochemistry
  • Neuroscience, Microbiology, Immunology, Evolutionary Biology
  • Ecology, Structural Biology, Biophysics, Developmental Biology
  • Cancer Biology, Pharmacology, or related disciplines
• Demonstrated ability to interpret scientific experiments, data, and research findings.

Preferred Qualifications

• 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.

Engagement Details

• Type: Contractor / Freelancer (no medical or paid leave benefits)
• Duration: 1 month
• Commitment: Minimum 40 hours/week (at least 8 hrs/day), with 4 hours of overlap with PST
• Environment: Fully remote, flexible working hours

Evaluation Process

1. Job interest form submission
2. Skills assessment
3. Review of answers and scores, followed by pre-onboarding discussion