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.