Data Scientist – Clinical AI

Role Overview

CVS Health’s Analytics & Behavior Change (A&BC) team is looking to grow its Clinical Data Science & AI team. As a Data Scientist – Clinical AI, you will be tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.

What You Will Do

You will extract signal from unstructured clinical text, build and fine-tune Small Language Models (SLMs), develop predictive analytics solutions, conduct rigorous Exploratory Data Analysis (EDA), and communicate findings clearly to technical and non-technical stakeholders.

Why It Might Be a Fit

You will be 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.

Requirements

• 2+ years of experience in data science, machine learning, or applied NLP — preferably in healthcare or a similarly regulated domain.
• Hands-on experience with NLP — text preprocessing, tokenization, named entity recognition (NER), text classification, topic modeling, or similar techniques applied to real-world unstructured data.
• Practical experience with LLMs and/or SLMs — prompt engineering, fine-tuning, RAG architectures, evaluation frameworks, or deploying language models in production or research settings.
• Strong foundation in traditional machine learning — supervised and unsupervised methods, feature engineering, model selection, cross-validation, and performance evaluation.
• Proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow, Hugging Face Transformers) and SQL for working with large-scale healthcare datasets.
• Experience with cloud-based data and ML platforms, preferably Google Cloud Platform (GCP) — BigQuery, Vertex AI, or equivalent.
• Excellent presentation and communication skills — you can stand in front of a room and clearly explain what you built, why you built it that way, and what it means for the business.
• Judgment and common sense — you understand that not every problem needs an LLM, you meet your deadlines, you ask for help when you’re stuck, and you don’t over-engineer solutions.

Benefits

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