Lead Data Scientist
Gritter Francona · Washington, DC · 5 mo ago
RemoteRemoteInformation TechnologyFull-time
Key Responsibilities
- 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
Requirements
- 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 languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); 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
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retailment Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Training & Development