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Managed by ExpertWoka ExpertWoka Sourcing

Agentic Life Science Expert (PPT)

Posted 2026-10-09
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Work Type
Remote
Location
Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria, Ghana, India, Pakistan, Indonesia, Turkey, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, Mexico
Compensation
$280 per approved task

About this opportunity

Overview

ExpertWoka is seeking Computational Life Sciences experts with strong scientific programming skills to help develop realistic, multi-step tasks for agentic life sciences evaluation.

What You'll Do

  • Design challenging scientific workflows across the life sciences.
  • Create tasks that require multiple computational steps, not just single-script or simple Q&A solutions.
  • Develop realistic input files, datasets, instructions, constraints, and expected deliverables.
  • Build tasks where AI agents inspect data, select methods, execute analyses, troubleshoot issues, and synthesize results.
  • Create reproducible expert solutions and objectively verifiable ground truths that run in controlled sandbox environments.
  • Design robust automated or semi-automated grading criteria.

Requirements

  • Ph.D., postdoctoral, or equivalent research experience in the life sciences.
  • 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 scientific reasoning and computational outputs.
  • Ability to work full-time, 40 hours per week.
  • Ability to provide 4 hours of PST overlap per day.

Preferred Qualifications

  • Experience in one or more of: 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.
  • Experience with AI agents, coding agents, or scientific AI systems.
  • Experience building automated evaluation environments.
  • Familiarity with Docker/Linux environments.
  • Publications involving computational or data-intensive life sciences research.

Project Details

  • Contractor assignment with no medical or paid leave.
  • Immediate start.
  • Average task handling time is 6-8 hours.
  • The work involves controlled, network-isolated computational environments.

Evaluation Process

  1. Interest Check Form (ICF)
  2. Assessment
  3. Delivery manager review

Skills & expertise

Python Scientific programming Computational life sciences Multi-step computational analysis Scientific reasoning Reproducible research pipelines Command-line tools Scientific libraries Docker Linux

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