Life Sciences Researcher

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 experiencedLife Sciences researchers and subject-matter experts to create advanced scientific reasoning tasks for an AI evaluation benchmark focused on biology and related disciplines.

This is anon-coding research role. The work centers on designing rigorous, self-contained scientific problems based on realistic experiments, biological data, figures, sequences, structures, literature-style evidence, and research scenarios. The goal is to create tasks that test whether AI systems can genuinelyinterpret evidence, reason scientifically, and synthesize information, rather than simply recall facts.

Relevant backgrounds includeMolecular Biology, Genetics & Genomics, Cell Biology, Biochemistry, Neuroscience, Microbiology, Immunology, Evolutionary Biology, Ecology, Structural Biology, Biophysics, Developmental Biology, Cancer Biology, Pharmacology, and related fields.

CONTRACT: Contractor assignment, 6 weeks

COMMITMENT: Hourly, up to 40h/week

LOCATIONS: Remote -Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria , Ghana, India, Indonesia, Turkey, Vietnam, Kenya, Pakistan, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, Mexico

PROCESS: Application form -> 60 min online test (analyzing biochemical measurements and distinguishing among mechanistic defects in enzyme variants)

Key Responsibilities

• Designchallenging life-sciences reasoning problems for AI evaluation.
• Create tasks based on realistic experiments, biological datasets, figures, sequences, structures, and scientific evidence.
• Write questions with clear, objectively defensible answers.
• Develop rigorous expert reference answers explaining the required scientific reasoning.
• Ensure tasks testinterpretation and synthesis, not simple factual recall.
• Validate biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative valid interpretations, and poorly constrained questions.
• Build tasks that meaningfully differentiate advanced AI models based on scientific reasoning ability.
• Incorporate reviewer feedback while maintaining high quality and throughput.
• Document tasks clearly and reproducibly where applicable.

• PhD, postdoctoral experience, or equivalent advanced research experience in the Life Sciences.
• Deep expertise in at least one biological discipline.
• Strong ability to interpretscientific experiments, data, and research findings.
• Strong understanding of experimental design and scientific reasoning.