About the role

We are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench. Unlike coding-focused benchmarks, this role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems.

This is a non-code benchmark: tasks are not executed, and no programming is required.

Who this is for: Life scientists who want to author rigorous scientific-reasoning problems with objectively defensible answers — no coding involved. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit.

Who this isn't for: If you want to build tasks where agents write and execute code, see GeneBench Pro (genomics), Agentic Life Sciences (broad life-sciences workflows), or Terminal Bench Science (cross-STEM terminal tasks).

Key Responsibilities:

- Design novel, challenging life sciences problems requiring advanced scientific reasoning.
- Create tasks grounded in realistic research scenarios, experiments, biological datasets, figures, sequences, structures, or scientific evidence.
- Develop clear questions with well-defined and objectively defensible answers.
- Write rigorous expert reference answers explaining the scientific reasoning required.
- Ensure tasks require synthesis and interpretation rather than easy factual recall.
- Validate all biological claims, calculations, assumptions, and conclusions.
- Identify ambiguity,



alternative scientifically valid interpretations, and insufficiently constrained questions.
- Create tasks capable of distinguishing frontier AI models based on scientific reasoning ability.
- Ensure outputs are clearly documented and reproducible where applicable.
- Maintain high quality and throughput while incorporating reviewer feedback.

Note on inputs: Tasks may involve scientific text, structured data, sequences, experimental results, and other scientific evidence depending on project requirements.

Requirements:

- Ph.D., postdoctoral experience, or equivalent advanced research experience in the Life Sciences.
- Strong expertise in at least one biological discipline.
- Demonstrated ability to interpret scientific experiments, data, and research findings. Relevant backgrounds include:
- Molecular Biology
- Genetics and Genomics
- Cell Biology
- Biochemistry
- Neuroscience
- Microbiology
- Immunology
- Evolutionary Biology
- Ecology
- Structural Biology
- Biophysics
- Developmental Biology
- Cancer Biology
- Pharmacology or related disciplines

Preferred Qualifications:

- Experience designing graduate-level scientific problems or assessments.
- Strong familiarity with experimental design and interpretation.
- Experience reviewing scientific manuscripts or research.
- Ability to translate complex scientific concepts into precise, self-contained problems.
- Experience evaluating LLM-generated scientific responses.

Bonus Points For

- Publications in strong peer-reviewed journals or conferences.
- Teaching or mentoring experience at the graduate level.
- Experience with AI/ML evaluation datasets.

📌 Biology Expert - Masters/PhD (India)
🏢 Giantmind Solutions
📍 India