Design complex scientific workflows for AI in life sciences.
About Turing Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.
Engagement Details
Commitments Required:
At least 6 hours per day and a minimum of 40 hours per week, with a 4-hour overlap with PST.
Employment Type: Contractor assignment (no medical/paid leave)
Duration of Contract: 5 weeks (expected start date is next week)
Payment Type: Pay per task — $300 per approved task
About the Role:
We are seeking Computational Life Sciences experts with strong scientific programming skills to develop complex, realistic tasks for Agentic Life Sciences. You will design tasks where AI agents must independently navigate scientific data, write and execute code, use computational tools, troubleshoot intermediate results, and produce scientifically valid final outputs. The goal is to evaluate whether AI systems can perform authentic multi-step scientific work — not simply answer scientific questions.
What You Will Do:
Design challenging, realistic agentic scientific workflows across the life sciences, requiring multiple computational steps rather than single-script or simple question-answer solutions.
Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
Build tasks requiring agents to inspect data, select appropriate methods, execute analyses, troubleshoot problems, and synthesize results.
Create reproducible expert solutions and objectively verifiable ground truths, along with robust automated or semi-automated grading criteria.
Validate scientific assumptions, calculations, code, intermediate outputs, and final answers, ensuring tasks are self-contained and executable in controlled, network-isolated environments.
What We Are Looking For:
Ph.D., postdoctoral, or equivalent research experience in the life sciences, with strong demonstrated computational and scientific-programming experience.
Strong scientific programming experience, particularly in Python.
Experience performing multi-step computational scientific analyses.
Ability to independently validate both scientific reasoning and computational outputs.
Expertise in one or more areas including bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry, structural biology, protein engineering, or computational microbiology.
Skills: PhD Biology, Bioinformatician / Computational Biologist
