Lead Data Scientist

- Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. - Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting. - Ensures compliance with VA data governance, security, and privacy standards.

- MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming ; Data visualization tools (e.g., Power BI, Tableau) and ETL processes; - Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity - Must be eligible to obtain a government clearance - Master's degree in Data Science, Computer Science, Health Informatics, or Statistics - 10+ years in data science or advanced analytics roles - 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments