Computational Biology & AI Specialist

Gramian Consulting Group; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Gramian Consultancy is seeking a Computational Life Sciences Specialist with strong Python and scientific programming experience to design multi-step workflows for AI agents in life sciences. You will develop realistic datasets, tasks, and grading criteria, focusing on reproducible, verifiable results in controlled environments.

The role emphasizes rigorous scientific reasoning and execution, using Python, command-line tools, and domain-specific software to ensure analyses are thorough and

Qualifications

• 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.

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.

Skills

Python programming

Analytical thinking

Independent validation

Reproducible workflows

Scientific reasoning

Data analysis

Education

PhD or equivalent research experience in Life Sciences

Tools

Command-line tools

Domain-specific life sciences software

Scientific libraries

Job description

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.
  • 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.