Note: The job is a remote job and is open to candidates in USA. Gritter Francona is seeking a Lead Data Scientist to support the Veterans Affairs' mission of enhancing healthcare delivery through advanced analytics and informatics. The role involves leading initiatives in predictive modeling and machine learning to improve clinical decision-making and operational efficiency.
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
Skills
- 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)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Training & Development
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