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À propos
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 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
Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development
Compétences linguistiques
- English
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