Lead Data Scientist

Gritter Francona; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

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

Job summary

A healthcare technology firm in Washington, DC is seeking a Lead Data Scientist to support initiatives aimed at enhancing Veterans' access to care. Responsibilities include leading advanced analytics and machine learning efforts to optimize clinical decision-making. Ideal candidates will have significant experience with interoperability standards, programming in Python or R, and a Master's degree in a related field. Comprehensive benefits including health care and retirement plans are offered.

Qualifications

• Demonstrated expertise in Agile environments and interoperability standards.
• Proven experience in integrating clinical informatics systems.
• Must be eligible to obtain a government clearance.
• 10+ years in data science or advanced analytics roles.
• 5+ years applying machine learning and predictive modeling in healthcare.

Responsibilities

• Technical lead for advanced analytics, predictive modeling, and machine learning initiatives.
• Designs and validates algorithms for interoperability workflows and clinical informatics systems.
• Ensures compliance with VA data governance and security standards.

Skills

Agile environments

Interoperability standards (HL7, FHIR)

Clinical terminology (SNOMED, LOINC)

Programming languages (Python, R)

Machine learning frameworks (TensorFlow, PyTorch)

Data visualization tools (Power BI, Tableau)

ETL processes

Education

Master's degree in Data Science, Computer Science, Health Informatics, or Statistics

Job description

VHA supports and provides medical care for VA's eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective.

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)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development