Commitment: Full-time (40 hours/week), with at least 4 hours overlap during PST business hours
Role Responsibilities
- Design challenging, realistic agentic scientific workflows across the life sciences.
- Create multi-step computational scientific tasks requiring AI agents to inspect data, select methods, execute analyses, troubleshoot problems, and synthesize results.
- Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
- Create reproducible expert solutions and objectively verifiable ground truths.
- Design robust automated or semi-automated grading criteria.
Requirements
- Ph.D., postdoctoral,
or equivalent research experience in the life sciences, with strong demonstrated computational and scientific-programming experience.
- Robust scientific programming experience, particularly in Python.
- Experience performing multi-step computational scientific analyses.
- Ability to independently validate both scientific reasoning and computational outputs.
- Experience working with scientific datasets, computational tools, and reproducible research workflows.
Application Process
- Apply via Easy Apply.
- Check your email for next steps.