Senior Data Scientist - Clinical Informatics (Analytics Enablement)
CVS Health · Work At Home, CO
$83,430–$222,480from the description
Jul 10, 2026
Work At Home, CO
Jul 21, 2026
What this job asks for AI summary
This role sits within a clinical data science team and focuses on making a large clinical data repository usable across the organization. Day-to-day work involves designing data models and feature stores, building reusable data assets, maintaining data documentation and quality frameworks, and advising analysts, data scientists, and business partners on how to work with clinical datasets. It suits someone with a background in clinical informatics or healthcare analytics who is comfortable bridging clinical knowledge and technical data work.
Mid level · 4+ years · National · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No specific work location is stated in the posting; CVS Health roles of this type are often hybrid or location-flexible, but the JD does not explicitly state remote eligibility, so remote is marked false.
The pay range ($83,430–$222,480/year) is unusually wide and represents the full band for the job grade, not a targeted offer range — the actual offer will depend on experience, education, and geography per the posting.
The degree requirement is listed as a Bachelor's in a relevant field 'or an equivalent combination of formal education and experience,' so no hard degree gate is set. A Master's is 'strongly preferred' and a clinical background is 'highly valued,' but neither is required.
The role is titled 'Senior' but gates on only 4+ years of experience and is primarily focused on data enablement, documentation, and consultative support rather than independent modeling or research — requirements support a Mid-level band.
GCP/BigQuery is listed as 'preferably' in the required section ('cloud-based data platforms, preferably GCP/BigQuery'), which normally signals preferred; however, it sits within the Required Qualifications block and the broader cloud platform capability is clearly gated — marked as required with GCP/BigQuery as the named tool and alternatives for other cloud platforms.
FHIR and HL7 appear in the 'Stay current with clinical data standards' bullet within the responsibilities section and are not explicitly listed as required qualifications; they are also referenced in the Preferred Qualifications section (FHIR/OMOP integration), so they are marked preferred.
HCC, HEDIS, OMOP, and other grouping/classification systems appear exclusively under Preferred Qualifications and are marked accordingly.
The alt SOC (15-2031 Operations Research Analysts) is noted because a significant portion of the role involves analytics enablement, data documentation, and BI/reporting work rather than statistical modeling — the primary classification as Data Scientist reflects the AI/ML feature store and clinical data science framing.
Read the full posting
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