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Our healthcare client is seeking a Principal Data Scientist to lead advanced analytics, AI/ML solutions, and clinical decision-support initiatives using a modern health-system data stack: Epic (Clarity/Caboodle), Azure, Databricks, Spark, MLflow, Python/R, and Power BI. This role drives high-impact modeling that improves patient outcomes, operational efficiency, and population health.
Job Responsibility:
Lead strategy and execution of AI/ML initiatives for clinical and operational innovation
Build, deploy, and optimize predictive models using Databricks, Spark, MLflow, and Azure pipelines
Partner with clinicians and healthcare leaders to translate problems into actionable insights
Collaborate with data engineering teams to enhance pipelines from Epic Clarity/Caboodle into Azure Data Lake
Ensure models meet standards for quality, fairness, explainability, and HIPAA compliance
Requirements:
PhD in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or related field
8+ years of experience in data science/ML (healthcare strongly preferred)
Expert in Python/R, Spark, Databricks, MLflow, and cloud ML deployment (Azure)
Strong knowledge of EHR data, healthcare data structures, and clinical workflows
Proven leadership, communication, and cross-functional collaboration skills
Nice to have:
Experience integrating predictive models into Epic or clinical workflows
Background in NLP, time-series, causal inference, or population health analytics