Scientific Computing Expert — Life Science PHD - $300/Approved Task

Turing; United States; Remote; Full time

Job summary

Turing seeks Computational Life Sciences experts to design complex, agentic workflows that test AI agents on multi-step scientific tasks across life sciences. You will craft datasets, instructions, and constraints, ensuring outputs are scientifically valid and self-contained in controlled environments.

The role emphasizes independent validation of scientific reasoning and computational results, requiring strong programming and domain expertise in bioinformatics, genomics, systems biology, or

Qualifications

• PhD, postdoctoral, or equivalent research experience in life sciences with computational and programming experience.
• Strong Python programming experience.
• Experience performing multi-step computational analyses.

Responsibilities

• Design challenging, realistic agentic scientific workflows across the life sciences, requiring multiple computational steps.
• Develop input files, datasets, instructions, constraints, and expected deliverables.
• Build tasks requiring data inspection, method selection, analyses execution, troubleshooting, and synthesis of results.
• Create reproducible expert solutions and robust grading criteria for ground truths.

Skills

Python

Multi-step analyses

Scientific programming

Education

PhD in Life Sciences

Job description

Design complex scientific workflows for AI in life sciences.

About TuringTuring 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 RoleWe 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