Lead Healthcare Data Scientist - ML & Interoperability
Gritter Francona
Town of Texas (WI)
On-site
USD 100,000 - 130,000
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 healthcare company is looking for a Lead Data Scientist to support advanced analytics and enhance clinical decision-making. The ideal candidate will have over 10 years in data science, with strong expertise in Agile environments, programming in Python and R, and knowledge of interoperability standards. Responsibilities include designing algorithms for clinical informatics and ensuring compliance with data governance. This role offers comprehensive benefits including health care and a retirement plan.
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.
Eligibility for government clearance.
Responsibilities
Serve as the technical lead for advanced analytics and machine learning initiatives.
Design and validate algorithms for interoperability workflows and clinical informatics systems.
Ensure compliance with VA data governance, security, and privacy standards.
Skills
Agile methodologies
Interoperability standards (HL7, FHIR)
Clinical terminology (SNOMED, LOINC)
Programming in Python
Programming in R
TensorFlow
PyTorch
Power BI
Tableau
Education
Master's degree in Data Science
Master's degree in Computer Science
Master's degree in Health Informatics
Master's degree in Statistics
Job description
A healthcare company is looking for a Lead Data Scientist to support advanced analytics and enhance clinical decision-making. The ideal candidate will have over 10 years in data science, with strong expertise in Agile environments, programming in Python and R, and knowledge of interoperability standards. Responsibilities include designing algorithms for clinical informatics and ensuring compliance with data governance. This role offers comprehensive benefits including health care and a retirement plan.