Pod Lead Life Sciences & Medicine (Terminal Bench Science)

This role focuses on designing scientific workflows for evaluating AI agents. The work combines scientific data inspection, method selection, code execution, troubleshooting, analysis, and synthesis.

This posting uses the title Pod Lead, Life Sciences & Medicine, while the duties focus on computational life sciences task design. Review the duties and qualifications before applying.

• Create realistic, multi-step computational life sciences tasks.
• Build input files, datasets, instructions, constraints, expected deliverables, expert solutions, ground truths, and objective grading criteria.
• Develop workflows across bioinformatics, computational genomics, systems biology, biostatistics, computational drug discovery, structural biology, protein engineering, and computational microbiology.
• Check scientific assumptions, calculations, code, intermediate outputs, and final answers.
• Make sure tasks are self-contained and executable in controlled environments without network access.

This is a remote contractor assignment lasting five weeks. The role is marked entry level, while the work requires advanced research and computational experience.

• $300 per approved task.
• 20+ hours per week.
• Remote and open worldwide.
• The schedule includes a four-hour overlap with Pacific Time.
• Fluent in English.
• A Ph.D., postdoctoral appointment, or equivalent research experience in the life sciences.
• Strong computational and scientific programming experience, especially with Python.
• Experience conducting multi-step computational scientific analyses.
• Ability to independently validate scientific reasoning and computational outputs.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including reviewing code, evaluating model answers, and checking scientific reasoning. OpenTrain helps people find these projects, build a profile, and apply in one place.