Life Sciences AI Task Architect

Crossing Hurdles; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Crossing Hurdles in the United States is seeking a research-focused scientist to design challenging multi-step scientific tasks for AI agents and ensure rigorous validation of outcomes.

The ideal candidate holds a Ph.D. in Life Sciences with strong Python programming and bioinformatics background, capable of developing reproducible workflows, datasets, and evaluative criteria in a full-time role with daily PST overlap.

Qualifications

• Ph.D. in Life Sciences or equivalent research experience.
• Proficient in Python and computational analysis.
• Background in bioinformatics/genomics/systems biology/related fields.
• Experience with multi-step computational workflows and reproducible pipelines preferred.
• Ability to independently validate scientific results.
• Full-time commitment: 40 hours/week with 4 hours PST overlap.

Responsibilities

• Design multi-step scientific tasks for AI agents.
• Develop computational workflows with Python and datasets.
• Validate assumptions, calculations, and code.
• Create evaluation criteria and reproducible solutions.
• Ensure tasks are self-contained and suitable for controlled environments.

Skills

Data analysis

AI workflows

Reproducible research

Bioinformatics background

Education

Ph.D. in Life Sciences

Tools

Python

Jupyter

Bioinformatics pipelines

Job description

Crossing Hurdles in the United States is seeking a research-focused scientist to design challenging multi-step scientific tasks for AI agents and ensure rigorous validation of outcomes.

The ideal candidate holds a Ph.D. in Life Sciences with strong Python programming and bioinformatics background, capable of developing reproducible workflows, datasets, and evaluative criteria in a full-time role with daily PST overlap.