Designs and maintains scalable data platforms, backend services, APIs, ingestion pipelines, and data quality frameworks. Responsibilities include transforming heterogeneous datasets, supporting NLP and analytics workflows, modernizing legacy processing systems, monitoring pipeline reliability, and maintaining data lineage and documentation. The role also supports cloud-native architecture, governance, security compliance, and NIH Public Trust requirements.

Develops biomedical data science solutions for the National Library of Medicine, processing and analyzing large-scale clinical and biomedical information. Responsibilities include data cleaning and validation, statistical modeling, predictive analytics, visualization, machine learning, NLP, data integration, and information retrieval. The role collaborates with researchers, developers, and healthcare professionals and may support clinical data studies, research synthesis, and secure handling of healthcare information.