Domain Expert – Python at Turing

Create advanced life sciences questions based on real research scenarios.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

We are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for Life Sci Bench . 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.

Who this is for. Life scientists who want to author rigorous scientific-reasoning problems with objectively defensible answers — no coding involved. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit.

Who this isn't for. If you want to build tasks where agents write and execute code, see Gene Bench Pro (genomics), Agentic Life Sciences (broad life-sciences workflows), or Terminal Bench Science (cross-STEM terminal tasks).

• 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.

• 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.

• 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.

This role does not involve programming or executing code. For coding-based or workflow-oriented opportunities, please explore Gene Bench Pro, Agentic Life Sciences, or Terminal Bench Science.

• Commitments
  
  Required:
  
  at least 8 hours per day and minimum 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration of contract: 1 month

• Opportunity to work on cutting-edge AI projects.
• Competitive compensation.
• Flexible working hours and remote work environment.

• Job interest form
• Assessment
• Based on the answers and scores, you will be contacted to discuss the pre-onboarding requirements

Chemistry