Lead Data Scientist

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