Senior Decision Scientist - Real World Evidence - RWE

CVS Health • Irving, TX

1d • Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. 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). As a Senior Decision Scientist you will perform execution of distributed and ad hoc queries against industry Common Data Model structures. You will contribute to 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 refresh 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 support analytical, and research activities related to Real-Word evidence generation. You will use SAS, SQL, Python, and R as the primary data management tools. This role is within a larger team and requires collaborating with individuals in other time zones and locations.

Requirements

• 5+ years of experience with SAS programming.
• 3+ years’ experience with healthcare claims data analysis.
• 3+ years’ experience with ETL (extract-transform-load) data files.
• Experience with the Real-World Data research initiatives and evidence driven projects.
• 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.

Nice To Haves

• Experience in SQL, R, Google Cloud Platform, GitHub, MS Excel, MS PowerPoint, Confluence, Database Management, UNIX/Linux.
• Experience with the FDA on research initiatives and data driven projects.
• Experience adapting and creating with assistance production processes to automate routine data management tasks.

Responsibilities

• perform execution of distributed and ad hoc queries against industry Common Data Model structures
• contribute to extract-transform-load (ETL) activities including understanding of the data sources, research questions, and data quality assessment
• acquire and analyze data and create large and complex analytic datasets to support Data Model refreshes by accessing various sources/systems
• contribute to the maintenance and refresh of the infrastructure required for running complex queries and generating insights to support business objectives
• review results, identify quality issues, and perform root cause analysis as well as document findings and other Data Management Plan items
• support analytical, and research activities related to Real-Word evidence generation
• use SAS, SQL, Python, and R as the primary data management tools
• collaborating with individuals in other time zones and locations

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees