Lead Data Scientist

Gritter Francona

Washington

On-site

USD 120,000 - 150,000

Full time

14 days+

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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 government health organization is seeking a Lead Data Scientist to support clinical decision-making initiatives. The candidate must have extensive experience in advanced analytics and machine learning within healthcare. Responsibilities include leading predictive modeling efforts, designing algorithms, and ensuring compliance with data standards. Eligible candidates should possess a Master's degree in a relevant field and a strong background in Agile methodologies.

Qualifications

10+ years in data science or advanced analytics roles.
5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments.
Must be eligible to obtain a government clearance.

Responsibilities

Serves as the technical lead for advanced analytics and predictive modeling.
Designs and validates algorithms for clinical informatics systems.
Ensures compliance with VA data governance and privacy standards.

Skills

Agile methodologies

Interoperability standards (HL7, FHIR)

Programming languages (Python, R)

Data visualization tools (Power BI, Tableau)

Machine learning and predictive modeling

Education

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

Tools

TensorFlow

PyTorch

VA VistA/CPRS

Cerner Millennium

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.

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