Senior Data Scientist, AI Retrieval Systems

Role Overview:

• Build retrieval-augmented services that ground everyday language in clinical concepts using LLMs and ontologies.
• Own the end-to-end data layer, from schema design to deployment on NIH Kubernetes environments.
• Collaborate with researchers and clinicians to turn user needs into effective AI-powered tools.

Key Responsibilities:

• Develop and maintain disease and phenotype vocabularies, semantic search, and ranking layers.
• Deploy continuously onto on-premises and HPC Kubernetes, ensuring reliability and performance.
• Build evaluation metrics and logging to ensure retrieval accuracy and system transparency.

Company Culture:

• Work on impactful projects at NIH advancing rare disease research with cutting-edge AI.
• Enjoy comprehensive benefits including 100% medical/dental/vision, 401(k) match, and educational support.
• Be part of a collaborative team of experts in biomedical science and software engineering.