Remote Biology Specialist

About the job

About Turing:Based in San Francisco, California, Turing is the worlds 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 Role OverviewThe Biological Reasoning & Discovery Engineer is responsible for creating high-quality reasoning datasets that evaluate and enhance the scientific reasoning capabilities of Large Language Models (LLMs). This role focuses on designing biology-centered discovery tasks that require models to analyze experimental and observational data, identify biological patterns, infer underlying mechanisms, estimate parameters, and predict outcomes in living systems. The ideal candidate combines expertise in biological sciences, data interpretation, and scientific methodology to develop rigorous, reproducible, and logically consistent evaluation tasks. What does day-to-day look like

• Designed biology-based reasoning scenarios using experimental datasets, observational studies, and simulated biological systems.
• Authored multi-step tasks involving pattern recognition, hypothesis generation, parameter estimation, and predictive biological reasoning.
• Developed evaluation problems focused on genetics, cellular processes, ecological systems, population dynamics, and biological consistency checks.
• Created deterministic solutions, reference explanations, and comprehensive scoring rubrics for model assessment.
• Collaborated with reviewers and LLM engineers to ensure scientific accuracy, clarity, and reproducibility across datasets.

Required Qualifications

• Demonstrated 3+ years of experience in biology, life sciences research, bioinformatics, scientific analysis, or related analytical disciplines.
• Applied strong knowledge of biological systems, scientific reasoning, quantitative analysis, and experimental methodologies.
• Utilized expertise in genetics, molecular biology, ecology, physiology, data interpretation, or simulation-based biological modeling.
• Communicated complex biological concepts, assumptions, and findings through clear and structured documentation.
• Evaluated scientific reasoning with exceptional attention to detail, logical consistency, and reproducible outcomes.