below marketmost similar roles pay hereabove market
This role pays less than
98%
of similar roles. Most pay
$135,000–$204,912
— the blue band above.
At the midpoint, this role pays about
$119k
versus about
$170k
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
117 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 114 roles with salary data.
Data Scientist - Clinical AI joins the enterprise clinical intelligence platform team to develop AI and machine learning solutions that generate evidence-backed insights. The role involves analyzing large structured and unstructured datasets to inform product and modeling decisions while building, validating, and improving statistical, machine learning, and generative AI solutions. Key responsibilities include applying large language models and natural language processing techniques to extract and summarize information from clinical documents, monitoring solution quality in production, and creating dashboards and technical documentation. Required skills include Python, SQL, statistics, and experience with natural language processing. The work focuses on solving healthcare problems by developing clinically rigorous and ethically grounded capabilities, specifically handling sensitive clinical, claims, or healthcare data using tools like BigQuery and Vertex AI.
What does a Data Scientist earn in Remote?
Median $211278 from 36 postings across 19 companies.
Develop and improve statistical, machine learning, and generative AI solutions for clinical use cases.
Analyze and summarize large structured and unstructured datasets to inform product and modeling decisions.
Apply large language models and natural language processing to extract and structure information from clinical documents.
Evaluate model performance and monitor the quality, reliability, and effectiveness of solutions in production.
Create dashboards, visualizations, and technical documentation to communicate findings and solution performance.
Apply regulatory requirements and responsible AI standards throughout the model development lifecycle.
What we're looking for
1+ years of experience in data science, analytics, machine learning, or a related field.
Experience using Python and SQL to analyze data and solve analytical problems.
Experience applying statistics, machine learning, natural language processing, or generative AI techniques.
Experience communicating analytical findings through documentation, visualizations, or presentations.
Bachelor’s degree or equivalent work experience in a quantitative or technical field such as Mathematics, Statistics, Computer Science, or Engineering.
Master’s degree (preferred).
Experience working with healthcare, clinical, claims, or other sensitive data (preferred).
Experience with cloud-based data and AI platforms, preferably Google Cloud Platform (preferred).
Python
R
SQL
Machine Learning
Natural Language Processing
Azure
AWS
Google Cloud Platform
Azure Data Factory
Azure Functions
Azure Storage
Data Pipelines
DevOps
DataOps
Agile
Data Visualization
Data Mining
Data Governance
Python
R
SQL
Machine Learning
Statistical Modeling
AWS
Azure
Google Cloud Platform
NLP
MLOps
Generative AI
Version Control
Feature Engineering
Predictive Analytics
Python
SQL
Data Engineering
Data Science
Machine Learning
Data Pipelines
GitHub
Databricks
ML Flow
dbt
KNime
Spotfire
PowerBI
SIMCA
JMP
AVEVA PI
LIMS
ELN
MES
ERP
GxP