Sr Data Scientist, Clinical Intelligence

Job Description The Sr Data Scientist, Clinical Intelligence supports Medical Affairs by translating Health Care Delivery EHR, clinical, encounter, and care-delivery data into clinically meaningful performance measures and actionable analyses. The role supports work across Oak Street Health, MinuteClinic/ Retail Health, Signify Health, and connected enterprise clinical data assets.

This individual contributor will contribute to recurring dashboards and key performance indicators as well as focused analyses of quality, access, preventive care, care gaps, workflows, outcomes, utilization, and population health. The role works under the direction of the VP, Data Strategy & Clinical Intelligence and partners with clinicians, Clinical Evidence Development, operations, Epic, interoperability, technology, quality, and analytics teams.

Primary Job Duties & Responsibilities · Applies SQL, statistical programming, and visualization tools to explore, analyze, and interpret EHR, encounter, clinical, and care-delivery data. · Develops and maintains analytical frameworks, key metrics, and dashboard content related to clinical quality, access, preventive care, immunizations, care gaps, chronic disease, encounters, referrals, follow-up, and strategic performance. · Builds and validates cohorts using encounters, appointments, orders, results, medications, problem lists, diagnoses, procedures, immunizations, referrals, providers, locations, and clinical documentation. · Works across approved Epic analytic assets, including Clarity, Caboodle, and relevant Cogito tools, and selects the appropriate source for detailed clinical analysis versus standardized reporting. · Distinguishes ordered, scheduled, resulted, documented, billed, and completed activities so measures reflect the intended clinical event and workflow. · Analyzes care across ambulatory, virtual, in-home, retail, and value-based primary care settings while accounting for differences in workflow, documentation, population, and data maturity. · Uses enterprise clinical repository and interoperability data, including appropriately governed FHIR, HL7, CCDA, terminology, and longitudinal clinical information, when required by the analytic question. · Contributes to analyses linking EHR and claims data and documents differences in attribution, completeness, observability, and follow-up across sources. · Collaborates with the Sr. BI Engineer to operationalize validated measures and analytic datasets in governed, automated reporting products. · Follows patient privacy, research governance, security, access, and minimum-necessary requirements for clinical data.

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