Senior Data Scientist, Clinical Intelligence

Job not on LinkedIn

🔥 2 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Translate Health Care Delivery EHR, clinical, encounter, and care-delivery data into clinically meaningful performance measures and actionable analyses • Support recurring dashboards and key performance indicators • Conduct focused analyses of quality, access, preventive care, care gaps, workflows, outcomes, utilization, and population health • Apply SQL, statistical programming, and visualization tools to explore, analyze, and interpret clinical data • Develop and maintain analytical frameworks, key metrics, and dashboard content • Build and validate cohorts using clinical and operational data elements • Work across Epic analytic assets, including Clarity, Caboodle, and relevant Cogito tools • Distinguish ordered, scheduled, resulted, documented, billed, and completed activities • Analyze care across ambulatory, virtual, in-home, retail, and value-based primary care settings • Use governed FHIR, HL7, CCDA, terminology, and longitudinal clinical information as required • Contribute to analyses linking EHR and claims data • Collaborate with the Sr. BI Engineer to operationalize validated measures and datasets in governed, automated reporting products • Follow patient privacy, research governance, security, access, and minimum-necessary requirements

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

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program eligibility