Decision Scientist – Clinical Informatics, Clinical Data Standards

Job not on LinkedIn

🕒 August 27

🏄 California, Connecticut, +8 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $64.9k - $158.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧪 Clinical Research

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Serve as a subject matter expert in clinical data, including CCD data • Build the clinical data feature store with standards, documentation, and best practices • Develop validated and reusable data assets such as tables, views, and features • Create and maintain data dictionaries, lineage, business logic, limitations, and use guidelines • Build queries, dashboards, and data visualizations for data quality metrics, data availability, and clinical insights • Translate clinical concepts into analytical frameworks • Support analysts, data scientists, and business partners using clinical data • Collaborate with data engineering teams on clinical data pipeline development • Learn and apply data governance practices, HIPAA compliance, privacy regulations, and internal stewardship policies • Maintain awareness of clinical data standards including HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, and RxNorm

🎯 Requirements

• 2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management • Familiarity with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data • Knowledge of clinical coding systems and terminologies, including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm • Ability to support downstream data consumers through documentation, training, and consultative support • Proficiency with SQL and large-scale healthcare datasets • Familiarity with cloud-based data platforms, preferably Google Cloud Platform tools including BigQuery • Understanding of data quality principles, including validation, profiling, and monitoring of healthcare data • Excellent written and verbal communication skills • Bachelor's degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field—or an equivalent combination of formal education and experience • Preferred: healthcare data platform experience and interoperability standards such as OMOP, CCDA, and FHIR • Preferred: familiarity with clinical workflows and HIEs • Preferred: experience with standardized clinical code systems and common data models such as OMOP • Preferred: ETL design and implementation from heterogeneous clinical sources • Preferred: data quality framework experience with tools such as Achilles or DQDB • Preferred: HIPAA/HITRUST, de-identification/tokenization, PHI handling, and data access controls experience

🏖️ Benefits

• Bonus, commission or short-term incentive program in addition to base pay • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being