Principal Data Scientist - Clinical AI

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Overview

CVS Health’s Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.

The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. In this role you will be tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.

As a Principal Data Scientist, you will…

• be a subject matter expertise in clinical data and how to apply it to solve healthcare problems.

• lead decision scientists, data engineers, and product owners to design and implement analytics solution.

• foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement.

• identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset.

• develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.

• build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes.

• provide thought leadership in the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.

• explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.

• develop end-to-end analytics solutions, from developing problem statements to deployments into production.

• translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.

• create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions.

• develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.

Required Qualifications

• 10+ years of relevant analytics experience.

• 10+ years' experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.

• 8+ years' experience solving analytics problems in the healthcare domain using clinical data.

• 8+ years' experience anticipating and preventing roadblocks throughout a project lifecycle and drive resolution/mitigation.

• 8+ years' experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.

• 8+ years' experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.

• 8+ years' experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences.

Preferred Qualifications

• Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions.

• Proven track record of implem