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Turing · Remote job

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

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Turing when you’re readyApply on Turing →

You apply directly on Turing's site. Applying is free. Posted Sep 30, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Turing screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Biomedical Researcher. It covers:

Interdisciplinary collaborationEthical research practicesData analysis proficiency

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

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STEP 2 · APPLY

Apply for this role

You apply on Turing's own site. It’s free, and you can apply even if you skip the practice.

Apply on Turing →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

PhD BiologyBioinformatician / Computational Biologist

Full job description

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.

Last checked open on Oct 28, 2026. Job description provided by Turing.

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