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Agentic Life Science Expert

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 21, 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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The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

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

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 or paid leave.
  • Duration of Contract: 5 weeks; expected start date is next week.
  • Payment Type: $280 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.

Key Responsibilities

  • Design challenging, realistic agentic scientific workflows across the life sciences.
  • Create tasks requiring multiple computational steps rather than single-script or simple question-and-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 that run in the provided sandbox environment.
  • Design robust automated or semi-automated grading criteria.
  • Ensure tasks measure scientific reasoning and execution rather than memorization.
  • Validate scientific assumptions, calculations, code, intermediate outputs, and final answers.
  • Ensure tasks are self-contained and executable in controlled, network-isolated computational environments.
  • Maintain high quality and throughput while responding effectively to reviewer feedback.

Qualifications Required

  • 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.

Preferred Qualifications

  • 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.
  • Experience with scientific libraries and command-line tools.
  • Experience creating reproducible research pipelines.
  • Ability to translate authentic research workflows into bounded, objectively gradable tasks.

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

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