Job Description
**Requirements**
The Data Scientist combines advanced analytics and machine learning with deep domain knowledge to generate clinical and operational insights, build predictive models, and support decision-making across the healthcare ecosystem. The ideal candidate will be adept at working with complex datasets (e.g., EHRs, claims, FHIR), collaborating cross-functionally, and ensuring data use aligns with regulatory and ethical standards.
- Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
- Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications.
- Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood).
- Create compelling data visualizations and dashboards to effectively com...
The Data Scientist combines advanced analytics and machine learning with deep domain knowledge to generate clinical and operational insights, build predictive models, and support decision-making across the healthcare ecosystem. The ideal candidate will be adept at working with complex datasets (e.g., EHRs, claims, FHIR), collaborating cross-functionally, and ensuring data use aligns with regulatory and ethical standards.
- Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
- Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications.
- Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood).
- Create compelling data visualizations and dashboards to effectively com...
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