Sr Data Scientist, Clinical Intelligence

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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.

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.

Minimum Requirements

• 2 to 4 years of relevant experience in healthcare data science, clinical analytics, EHR analytics, clinical informatics, quality improvement, population health, health services research, or a related field.
• Experience analyzing EHR, encounter, clinical, laboratory, medication, order, or results data.
• Proficiency in SQL and working proficiency in R, Python, SAS, or another statistical programming language.
• Experience developing clinical measures, dashboards, analytic datasets, cohorts, or outcome analyses.
• Working understanding of clinical workflows and the limitations of EHR-derived measures.
• Working knowledge of problem solving and decision making, with strong documentation and analytic-quality practices.
• Ability to collaborate with clinicians, informaticists, engineers, operations leaders, and business stakeholders.

Preferred Qualifications

• Experience with Epic Clarity, Caboodle, Cogito, Reporting Workbench, SlicerDicer, or Radar.
• Epic certification or proficiency in an analytics-related area, or the ability to complete relevant Epic training.
• Experience with ambulatory, primary care, retail health, in-home evaluation, population health, or value-based care analytics.
• Familiarity with FHIR, HL7v2, CCDA, OMOP, SNOMED CT, LOINC, RxNorm, or clinical terminology mapping.
• Experience with a clinical data repository, enterprise interoperability platform, or longitudinal patient record.
• Experience integrating EHR and claims data or contributing to abstracts, manuscripts, quality-improvement publications, or research collaborations.
• Experience with Tableau, Power BI, Strategy, or Epic-native reporting tools.

Education

• Bachelor's degree or equivalent specialized training or relevant professional qualification preferred. Advanced training in biostatistics, epidemiology, health services research, public health, data science, economics, informatics, statistics, or a related quantitative field is desirable.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families, including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources.