Life Science

Agentic Life Science Expert
Engagement: 3-Month Contract
Shift: 8 hours/day — 7:30 PM–11:30 PM fixed + 4 hours flexible
Experience: Ph.D., Postdoctoral, or equivalent research experience in Life Sciences
LinkedIn: Mandatory in CV
Role Overview
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 independently navigate scientific data, write and execute code, use computational tools, troubleshoot intermediate results, and produce scientifically valid outputs.
Key Responsibilities
Design challenging, realistic agentic scientific workflows across the life sciences.
Create multi-step computational tasks requiring scientific reasoning and execution.
Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
Design tasks requiring agents to inspect data, select methods, execute analyses, troubleshoot problems, and synthesize results.
Create reproducible expert solutions and objectively verifiable ground truths.
Design robust automated or semi-automated grading criteria.
Validate scientific assumptions, calculations, code, intermediate outputs, and final answers.
Ensure tasks are self-contained, reproducible, and executable in controlled, network-isolated environments.
Maintain high quality and throughput while incorporating reviewer feedback.
Required Qualifications
Ph.D., Postdoctoral, or equivalent research experience in Life Sciences.
Strong computational and scientific programming experience.
Strong Python programming skills.
Experience performing multi-step computational scientific analyses.
Ability to independently validate scientific reasoning and computational outputs.
Preferred Expertise
Bioinformatics
Computational Genomics
Systems Biology
Computational Neuroscience
Biostatistics
Computational Drug Discovery
Computational Biochemistry
Structural Biology
Protein Engineering
Computational Microbiology
Scientific libraries and command-line tools
Reproducible research pipelines
Translating authentic research workflows into objectively gradable tasks
Bonus Points
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.

Work arrangement
Yes