Data Scientist - Clinical AI

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

The Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases. As a Sr. Data Scientist, you will…

• become a subject matter expertise in clinical data and how to apply it to solve health care problems.

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

• collaborate with other data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solution.

• utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from text.

• contribute to and inform 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 deploying models into production.

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

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

Required Qualifications

• 1+ year relevant analytics experience.

• 1+ year experience using SQL and Python in a cloud (GCP, Azure, AWS) environment to solve analytical problems.

• 1+ year experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.

Preferred Qualifications

• Experience solving analytics problems in the healthcare domain using clinical data.

• Experience using natural language processing (NLP), including large language models (LLMs), to extract insights from text data.

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

• Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.

• Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.

Education

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$72,100.00 - $144,200.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness