About this role
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 experienced Life 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 a non-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 genuinely interpret evidence, reason scientifically, and synthesize information , rather than simply recall facts.
Relevant backgrounds include Molecular 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
- Design challenging 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 test interpretation 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.
Requirements
- PhD, postdoctoral experience, or equivalent advanced research experience in the Life Sciences.
- Deep expertise in at least one biological discipline.
- Strong ability to interpret scientific experiments, data, and research findings .
- Strong understanding of experimental design and scientific reasoning.