Life Sciences Subject Matter Expert at Turing

Life Sciences Subject Matter Expert | Remote | Contractor

About the Role

Turing is seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench, a non-code AI benchmark. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems. This role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. 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. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit. This role is not for building tasks where agents write and execute code.

Responsibilities

• 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.

Required Qualifications

• 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 disciplines.

Preferred Qualifications

• 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.

Commitment and Terms

• At least 8 hours per day and minimum 40 hours per week, with 4 hours of overlap with Pacific Standard Time.
• Engagement type: contractor/freelance assignment (no medical or paid leave).
• Contract duration: 1 month.

Benefits

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

Important Note

This role does not involve programming or executing code. Turing also offers coding-based or workflow-oriented opportunities on other benchmark projects.

Evaluation Process

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