Data Scientist - Clinical AI

CVS Health • New York, NY

4d • $79,310 - $158,620

About The Position

CVS Health is seeking a Data Scientist to join its enterprise clinical intelligence platform team. The role analyzes clinical data and develops AI and machine learning solutions that generate evidence-backed insights for use cases across CVS Health. The Data Scientist works with data scientists, engineers, product managers, and clinical partners to build, evaluate, and improve production solutions.

The position develops expertise in clinical data and healthcare applications, explores structured and unstructured datasets, and develops statistical, machine learning, and generative AI solutions with guidance from senior team members. It applies large language models and natural language processing to clinical documents and helps assess and monitor model performance, quality, reliability, and effectiveness in production. The role also communicates findings through dashboards, visualizations, and technical documentation, while following CVS Health policies, regulatory requirements, and responsible AI standards throughout model development.

This is a full-time position with 40 anticipated weekly hours. The typical pay range is $79,310.00–$158,620.00, with potential eligibility for a CVS Health bonus, commission, or short-term incentive program. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, subject to eligibility. The application window is anticipated to close on 01/01/2027.

Requirements

• At least 1 year 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 Mathematics, Statistics, Computer Science, Data Science, Economics, Physics, Engineering, Biomedical Engineering, Clinical Informatics, Bioinformatics, Health Informatics, or a related discipline.

Nice To Haves

• Master’s degree.
• Experience working with healthcare, clinical, claims, or other sensitive data.
• Experience analyzing unstructured text with large language models.
• Experience with cloud-based data and AI platforms, preferably Google Cloud Platform.
• Familiarity with BigQuery, Vertex AI, Dataproc, or Cloud Composer.
• Ability to collaborate effectively within a cross-functional team and work through technical problems with guidance.

Responsibilities

• Develop subject matter expertise in clinical data and its application to healthcare problems.
• Explore, analyze, and summarize large structured and unstructured datasets to inform product and modeling decisions.
• Develop, validate, and improve statistical, machine learning, and generative AI solutions under the guidance of senior team members.
• Apply large language models and natural language processing techniques to extract, structure, and summarize information from clinical documents.
• Evaluate model performance and help monitor solution quality, reliability, and effectiveness in production.
• Collaborate with data scientists, data engineers, machine learning engineers, product managers, and clinical partners to implement AI solutions.
• Create dashboards, visualizations, and technical documentation that clearly communicate findings and solution performance.
• Apply CVS Health policies, regulatory requirements, and responsible AI standards throughout the model development lifecycle.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility
• Potential eligibility for a CVS Health bonus, commission, or short-term incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level