below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$144,375–$204,912
— the blue band above.
At the midpoint, this role pays about
$144k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
119 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 115 roles with salary data.
The Sr Data Scientist, Clinical Intelligence supports Medical Affairs by translating healthcare delivery, clinical, and encounter data into meaningful performance measures and actionable analyses. This individual contributor builds and maintains analytical frameworks, key metrics, and dashboards related to clinical quality, access, preventive care, and population health. The role involves building and validating cohorts using medications, diagnoses, and clinical documentation across ambulatory, virtual, and value-based primary care settings. Key responsibilities include analyzing EHR and claims data while ensuring patient privacy and research governance. Required skills include proficiency in SQL and statistical programming languages like R, Python, or SAS. The position utilizes tools such as Epic Clarity, Caboodle, and Cogito, while leveraging interoperability standards including FHIR, HL7, CCDA, and clinical terminology mapping to solve complex healthcare delivery problems.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Working understanding of clinical workflows and the limitations of EHR-derived measures.
Ability to collaborate with clinicians, informaticists, engineers, operations leaders, and business stakeholders.
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 (preferred).