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.
Senior Data Scientist
Safety Surveillance & Collaboration (SS&C) team
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).
In this Senior Data Scientist role, you will support extract-transform-load (ETL) activities including understanding of the data sources, research questions, and data quality assessment. You will acquire and analyze data and create large and complex analytic datasets to support Data Model refreshes by accessing various sources/systems. You will contribute to the maintenance and refreshment of the infrastructure required for running complex queries and generating insights to support business objectives. You will be expected to review results, identify quality issues, and perform root cause analysis as well as document findings and other Data Management Plan items. You will use SAS, SQL, Python, as the primary data management tools. You will work within a larger team and be required to collaborate with individuals in other time zones and locations.
This position can be fully remote or hybrid and the ideal candidate will live in the Eastern or Central Time Zones.
Responsibilities:
Executing refresh of Data Models, reviewing quality reports, identifying, and fixing quality issues.
Data creation, exchange and transformation of IIS files into Common Data Models.
Maintaining Git for ETL's , Internal Repository refresh and space management.
Execution and Quality Control on Distributed modular program.
To be a candidate for this role you will possess the following:
Proficient with multi-tasking.
Must be self-directed.
Be able to critical think through problems.
Required Qualifications:
5+ years of experience with SAS programming.
3+ years of experience with healthcare claims data analysis.
3+ years of experience with extract-transform-load (ETL) data files.
Experience in preparation and data management plan/documentation.
Experience working with and integrating large datasets from multiple sources.
Experience with the FDA on research initiatives and data driven projects.
Preferred Qualifications:
Experience in 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.
Education:
Bachelor's degree required.
Master's degree Preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
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.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 09/20/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
