Lead Healthcare Data Scientist - ML & Interoperability

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

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.