Research Biologist

About This Role

This role involves guiding and evaluating AI language models within the life sciences, focusing on biological accuracy and reasoning. It requires specialized knowledge to refine model behavior and ensure high-quality, scientifically sound responses for diverse audiences.

Responsibilities

• Write and refine prompts to guide model behavior in the life sciences context
• Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality
• Conduct fact-checking using authoritative public sources and domain knowledge
• Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
• Assess clarity, structure, and appropriateness of explanations for different audiences
• Ensure model responses align with expected conversational behavior and system guidelines

Requirements

• PhD in Biology or a closely related life sciences field
• Deep expertise in Molecular & Cellular Biology, Organismal Physiology & Development, Microbiology, Immunology & Pathobiology, Ecology, Evolution & Environmental Biology
• Significant experience using large language models (LLMs)
• Excellent writing skills and ability to explain complex life sciences concepts
• Strong attention to detail
• Experience reviewing or editing technical or academic writing

Qualifications

• PhD in Biology or a closely related life sciences field

Nice to Have

• Prior experience with RLHF, model evaluation, or data annotation work
• Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences
• Familiarity with evaluation rubrics, benchmarks, or structured review frameworks

Skills

* Required skills