Data Engineer

This role bridges the gap between complex biomedical research and modern data engineering, ensuring data is robust, clean, secure, and AI-ready for multi-center research activities. The position involves building scalable databases and automated pipelines, architecting data management solutions, and driving data harmonization across fragmented clinical and preclinical datasets. The role also requires establishing technical standards compliant with NIH policies, training researchers on data governance, and supporting advanced analytics and machine learning efforts.