Data Science Fellow - AI/NLP

Tech Stack

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, organoid biologists, and domain experts to integrate research methods into usable tools and translate biological knowledge into computable representations.

Benefits

• 401k
• Health Insurance
• Learning Budget

Culture

Requirements