About Turing:
Based in San Francisco, California, Turing is the world’s leading research acceleratorfor 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 intelligencewith systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Role Overview
The 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.
Required Qualifications
Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. They connect elite AI professionals with frontier model training projects, offering competitive compensation for domain expertise across coding, STEM, creative writing, and more.
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