This role pays less than
96%
of similar roles. Most pay
$126,800–$185,050
— the shaded band above.
At the midpoint, this role pays about
$112k
versus about
$156k
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
88 open roles
on FindRole.
Listed pay typically runs
$118,450–$284,280
across 84 roles with salary data.
As a Decision Scientist - Clinical Informatics (Clinical Data Standards), you will join the Analytics & Behavior Change team to activate clinical data repositories and improve outcomes across various business lines. You will serve as a bridge between clinical assets and downstream consumers by building a clinical data feature store, establishing documentation standards, and creating validated, reusable data assets like tables and views. Your daily work involves translating complex clinical concepts into analytical frameworks, managing data dictionaries, and developing dashboards to communicate quality metrics. The role requires expertise in SQL, Google Cloud Platform tools like BigQuery, and clinical coding systems including ICD-10, SNOMED-CT, LOINC, RxNorm, and CPT. You will ensure data is fit for purpose by adhering to HL7, FHIR, and HIPAA regulations while managing large-scale healthcare datasets to solve complex problems at the intersection of technology and healthcare.
Build the clinical data feature store by establishing standards, documentation, and best practices for downstream analytics and AI use cases.
Develop well-documented, validated, and reusable data assets including tables, views, and features to empower data scientists.
Create and maintain comprehensive data documentation such as dictionaries, lineage, business logic, and usage guidelines.
Build queries, dashboards, and visualizations to communicate data quality metrics and clinical insights to various stakeholders.
Translate complex clinical concepts into analytical frameworks for non-technical business partners.
Collaborate with data engineering teams to inform the development of pipelines that ensure proper data ingestion and transformation.
Ensure all clinical data management complies with HIPAA, data privacy regulations, and internal stewardship policies.
Maintain expertise in clinical data standards including HL7, FHIR, ICD-10, SNOMED-CT, LOINC, and RxNorm.
What we're looking for
2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management.
Knowledge of clinical coding systems including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.
Proficiency with SQL and experience working with large-scale healthcare datasets.
Familiarity using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools like BigQuery.
Ability to communicate complex clinical data concepts to both technical and non-technical audiences.
Bachelor's degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related field.
Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, or a related field (preferred).
Clinical background such as RN, PharmD, or MD with transition into informatics/analytics (highly valued).
SQL
Python
Google Cloud Platform
BigQuery
Clinical Informatics
HL7
FHIR
ICD-10
SNOMED-CT
LOINC
RxNorm
CCD
OMOP
Feature Store
Data Governance
HIPAA
Data Visualization
Data Quality
Machine Learning
Large Language Models
Generative AI
Natural Language Processing
Python
SQL
Deep Learning
Model Evaluation
Clinical Data
EMR Systems
Data Science
Responsible AI
HIPAA
Machine Learning
Artificial Intelligence
Python
R
TensorFlow
PyTorch
Scikit-learn
Hugging Face
MLOps
Airflow
Kubeflow
MLflow
AWS
Azure
CI/CD
CDISC
OMOP
Big Data
Data Architecture