Computational Biology & AI Specialist

About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for a Computational Life Sciences Specialist with strong Python and scientific programming experience to develop complex, realistic tasks for AI agents working across the life sciences. You will design multi-step scientific workflows where AI agents must analyze data, write and execute code, troubleshoot results, and produce scientifically valid outputs. This role focuses on evaluating authentic scientific reasoning and execution rather than simple question answering, with an emphasis on reproducibility, objective validation, and computational reliability.
Key Responsibilities
Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps
Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables
Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results
Implement reproducible expert solutions and objectively verifiable ground truths
Design robust automated or semi-automated grading criteria for scientific tasks
Validate scientific assumptions, calculations, code, intermediate outputs, and final results
Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments
Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software
Ensure tasks assess scientific reasoning and execution rather than memorization
Maintain high task quality and throughput while incorporating reviewer feedback
Requirements
PhD, postdoctoral experience, or equivalent research experience in Life Sciences or a closely related field
Strong Python programming skills with demonstrated experience in scientific computing
Experience conducting multi-step computational scientific analyses
Experience working with scientific datasets and computational tools
Ability to independently validate scientific reasoning, calculations, and computational outputs
Experience developing reproducible computational workflows and verifying expected results
Familiarity with scientific libraries, command-line tools, or domain-specific life sciences software
Experience in scientific research involving computational methods, data analysis, or scientific programming

Work arrangement
Yes