NLP / LLM Data Scientist

The day-to-day work for the NLP/LLM Data Scientist involves leveraging Large Language Models (LLMs) and machine learning techniques to perform meaningful data abstraction from complex, unstructured and structured healthcare data. This role is central to building and maintaining AI-ready datasets for clients, focusing on making de-identified patient data accessible to AI developers. The individual will work to curate datasets by identifying patient subpopulations or disease cohorts and developing methods to extract information from multimodal healthcare data to support patient phenotyping. This work directly supports the team’s goal of delivering the highest-quality data possible to clients developing products that improve patient health.

This position exists to bridge the gap between raw clinical data and usable, high-quality datasets required for training advanced AI algorithms. The scientist will apply data expertise and programming skills to derive insights, enhance datasets based on specific use cases, and support the technical product team in advancing data-related offerings. It requires a proactive approach to learning new technologies while maintaining rigorous standards for data accuracy and integrity.

This role is suited for someone who is comfortable navigating massive, disorganized datasets and is eager to learn new environments and skills. A candidate who thrives on transforming complex clinical information into actionable data products and enjoys contributing to a small, ambitious team environment would perform well in this position.