Data Science Fellow - AI/NLP

Responsibilities

• Design and implement AI/NLP methods for biomedical literature mining and structured protocol knowledge extraction
• Develop benchmark datasets, annotation guidelines, and evaluation pipelines for scientific information extraction
• Build and evaluate RAG, in-context learning, fine-tuning, graph matching, entity normalization, and KG query workflows
• Analyze extraction errors, model behavior, retrieval failures, grounding quality, and biological ambiguity
• Collaborate with software engineers to integrate research methods into usable tools and reproducible pipelines
• Collaborate with organoid biologists and domain experts to translate biological protocol knowledge into computable representations
• Prepare manuscripts, conference abstracts, technical reports, design documents, and open-source research artifacts
• Help define research milestones, evaluation criteria, and publication strategy for protoc...