Remote Life Sciences AI Workflow Designer

Prointegrate World It Consulting; United States; Remote; USD 358,000 - 441,000; Full time

Job summary

Prointegrate World It Consulting is seeking a remote contractor to design and run advanced scientific workflows for AI-assisted research. The role emphasizes Python-based computational programming and handling complex, multi-step analyses with robust validation and data-driven reasoning.

The project entails creating reproducible pipelines, evaluating AI agents on authentic scientific tasks, and delivering well-documented results across international locations.

Qualifications

• Ph.D., Postdoctoral, or equivalent research experience in Life Sciences.
• Strong computational and scientific programming experience.
• Strong proficiency in Python.
• Experience with multi-step computational scientific analyses.
• Experience working with scientific datasets and computational tools.
• Ability to design and execute realistic scientific workflows.
• Strong understanding of scientific validation, troubleshooting, and data-driven reasoning.

Responsibilities

• Design challenging and realistic agentic scientific workflows.
• Create tasks requiring multiple computational and scientific steps.
• Develop scientific datasets, instructions, constraints, and expected deliverables.
• Build reproducible solutions and verifiable ground truths.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
• Help evaluate AI agents performing authentic multi-step scientific work.

Skills

Python

Scientific programming

Data analysis

Workflow design

Data management

Troubleshooting

AI workflows

Education

PhD or equivalent

Tools

Computational tools

Data visualization

Job description

Prointegrate World It Consulting is seeking a remote contractor to design and run advanced scientific workflows for AI-assisted research. The role emphasizes Python-based computational programming and handling complex, multi-step analyses with robust validation and data-driven reasoning.

The project entails creating reproducible pipelines, evaluating AI agents on authentic scientific tasks, and delivering well-documented results across international locations.