Healthcare Data Science Lead — AI & Interop Analytics

Gritter Francona; Washington; 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 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

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.