Lead Decision Scientist, Analytics

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary

Join this dynamic and growing team! CVS Healthspire Payor & Life Sciences Solutions organization provides analytical and advisory services that meet the market and clinical challenges faced by pharmaceutical, biotech, and device companies. Our services use real world data, advanced technologies, and professional know-how to illuminate therapeutic and economic value. We offer collaborative resources across CVS to promote forward-looking research into real-world outcomes and the realities of therapeutic use in genuine clinical settings.You have the flexibility to work both remotely and office within the United States.The mission of the Safety Surveillance & Collaboration (SS&C) team within CVS Healthspire Payor & Life Sciences Solutions, is to actively monitor the US public health in collaboration with Food and Drug Administration (FDA), academic institutions, and other health insurance companies. The SS&C team conducts descriptive research, medical chart review validations, and pragmatic research using the FDA Sentinel Common Data Model (SCDM), Sentinel and Distributed Research Network (DRN) tools, Observational Medical Outcomes Partnership (OMOP) CDM, Patient-Centered Outcomes Research Initiative (PCORI) CDM, and Aetna's Enterprise Data Warehouse (EDW).The Lead Decision Scientist role will have end-to-end responsibility of extraction-transformation-load including understanding of the data sources; distributed research methods and queries using industry common data models; research questions; data management; space management and data quality. This role will contribute to the maintenance and refresh of the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources include immunization information systems (IIS) data into CDM to meet business needs. The role will use SAS and R to execute queries and SAS and SQL to transform data into CDMs. The role is expected to review results, identify quality issues, investigate root cause, and assist Senior Decision Scientist, Senior Analyst, or Analyst in completing investigations as well as document findings and other Data Management Plan items. Also to present the findings to internal team and clients including the FDA. The role is expected to work collaboratively in a team environment.Required Qualifications

• 10+ years of experience with SAS
• 5+ years' experience with extract-transform-load data files
• 5+ years' experience in health care data management and analytics
• 5+ years' experience with healthcare claims data analysis
• Experience working with and integrating large datasets from multiple sources
• Experience in preparation and data management plan/ documentation
• Experience with the FDA on research initiatives and data driven projects
• Proficient with multi-tasking
• Must be self-directed
• Be able to critical think through problems

• Experience in SAS, SQL, R, Google Cloud Platform, GitHub, MS Excel, MS PowerPoint
• Experience with the FDA on research initiatives and data driven projects
• Adapt and create with assistance production processes to automate routine data management tasks
• Analytical background in pharmacovigilance, Pharmacoeconomics, safety surveillance, and/or outcomes research using Real World Datasets

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.