Senior Data Scientist - Clinical AI

Role Description

CVS Health's Analytics & Behavior Change (A&BC) team is looking to grow its Clinical Data Science & AI team. As a Senior Data Scientist - Clinical AI, you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a bridge between clinical data assets and the analysts, data scientists, and business partners who consume them—ensuring data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards.

• Extract signal from unstructured clinical text.
• Apply NLP and language model techniques to clinical notes, CCD documents, and other free-text clinical data to generate structured, actionable features for downstream analytics and predictive models.
• Build and fine-tune Small Language Models (SLMs).
• Design, train, and evaluate domain-specific SLMs tailored to clinical use cases — balancing performance, cost, latency, and compliance requirements.
• Utilize large language models where they add clear value (e.g., training data creation, entity extraction, zero-shot classification).
• Develop predictive analytics solutions.
• Conduct rigorous Exploratory Data Analysis (EDA).
• Communicate findings clearly.
• Collaborate across teams.
• Stay current and stay curious.
• Uphold data governance standards.

Qualifications

• 4+ years of experience in data science, machine learning, or applied NLP with meaningful depth in healthcare or a similarly regulated domain.
• Deep, hands-on experience in NLP.
• Proven experience designing and deploying LLM/SLM-based systems.
• Strong foundation in traditional machine learning.
• Best coding practices.
• Advanced EDA skills.
• Expert-level Python and SQL for working with large-scale healthcare datasets.
• Experience with cloud-based data and ML platforms, preferably Google Cloud Platform (GCP).
• Excellent presentation and communication skills.
• Judgment and common sense.
• A genuine curiosity and desire to learn.

Requirements

• Significant experience working with clinical text data.
• Working knowledge of clinical coding systems and terminologies.
• Hands-on experience with clinical data standards.
• Experience building or contributing to clinical NLP pipelines.
• Deep understanding of model evaluation in clinical contexts.
• Understand and help guide MLOps.
• Experience working directly with clinical stakeholders.
• Privacy, security, and compliance experience.

Education

• Bachelor’s degree in health informatics, biostatistics, computer science, data science mathematics, biomedical informatics, or related.
• Master's degree or higher in a related field is a plus.
• Clinical background (RN, PharmD, MD, or similar) with transition into data science or AI is a genuine differentiator for this role.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs.
• Other resources, based on eligibility.