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About the role
You will be working as a Biological Reasoning & Discovery Engineer at Turing, responsible for creating high-quality reasoning datasets to evaluate and enhance the scientific reasoning capabilities of Large Language Models (LLMs). Your role will involve designing biology-centered discovery tasks, analyzing experimental and observational data, identifying biological patterns, inferring underlying mechanisms, estimating parameters, and predicting outcomes in living systems. The ideal candidate will have expertise in biological sciences, data interpretation, and scientific methodology to develop rigorous, reproducible, and logically consistent evaluation tasks. Your day-to-day tasks will include: - Designing biology-based reasoning scenarios using experimental datasets, observational studies, and simulated biological systems - Authoring multi-step tasks involving pattern recognition, hypothesis generation, parameter estimation, and predictive biological reasoning - Developing evaluation problems focused on genetics, cellular processes, ecological systems, population dynamics, and biological consistency checks - Creating deterministic solutions, reference explanations, and comprehensive scoring rubrics for model assessment - Collaborating 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 - Strong knowledge of biological systems, scientific reasoning, quantitative analysis, and experimental methodologies - Expertise in genetics, molecular biology, ecology, physiology, data interpretation, or simulation-based biological modeling - Ability to communicate complex biological concepts, assumptions, and findings through clear and structured documentation - Evaluation of scientific reasoning with exceptional attention to detail, logical consistency, and reproducible outcomes Perks of Freelancing With Turing: - Work in a fully remote environment - Opportunity to work on cutting-edge AI projects with leading LLM companies - Potential for contract extension based on performance and project needs Please note the following details for the offer: - Commitments Required: 4 hours of overlap with PST - Engagement Type: Contractor assignment/freelancer (no medical/paid leave) - Duration of Contract: 8 weeks Only candidates with a minimum of 3 years of experience can apply for this position. The salary offered is competitive. You will be working as a Biological Reasoning & Discovery Engineer at Turing, responsible for creating high-quality reasoning datasets to evaluate and enhance the scientific reasoning capabilities of Large Language Models (LLMs). Your role will involve designing biology-centered discovery tasks, analyzing experimental and observational data, identifying biological patterns, inferring underlying mechanisms, estimating parameters, and predicting outcomes in living systems. The ideal candidate will have expertise in biological sciences, data interpretation, and scientific methodology to develop rigorous, reproducible, and logically consistent evaluation tasks. Your day-to-day tasks will include: - Designing biology-based reasoning scenarios using experimental datasets, observational studies, and simulated biological systems - Authoring multi-step tasks involving pattern recognition, hypothesis generation, parameter estimation, and predictive biological reasoning - Developing evaluation problems focused on genetics, cellular processes, ecological systems, population dynamics, and biological consistency checks - Creating deterministic solutions, reference explanations, and comprehensive scoring rubrics for model assessment - Collaborating 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 - Strong knowledge of biological systems, scientific reasoning, quantitative analysis, and experimental methodologies - Expertise in genetics, molecular biology, ecology, physiology, data interpretation, or simulation-based biological modeling - Ability to communicate complex biological concepts, assumptions, and findings through clear and structured documentation - Evaluation of scientific reasoning with exceptional attention to detail, logical consistency, and reproducible outcomes Perks of Freelancing With Turing: - Work in a fully remote environment - Opportunity to work on cutting-edge AI projects with leading LLM companies - Potential for contract extension based on performance and project needs Please note the following details for the offer: - Commitments Required: 4 hours of overlap with PST - Engagement Type: Contractor assignment/freelancer (no medical/paid leav
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