Lead Data Scientist - Clinical AI: Remote Opportunity with CVS Health

Join the CVS Health Team as a Lead Data Scientist - Clinical AI and Revolutionize Healthcare with Data-Driven Insights

CVS Health is seeking a highly skilled Lead Data Scientist - Clinical AI to join our team remotely. As a Lead Data Scientist, you will play a pivotal role in harnessing the power of clinical data to drive business outcomes and improve patient care. Our company is dedicated to delivering enhanced human-centric healthcare for a rapidly changing world, and we need professionals like you to help us achieve this mission.

About CVS Health and Our Purpose

At CVS Health, we share a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to delivering personalized, convenient, and affordable healthcare solutions. Our Heart At Work Behaviors support this purpose, empowering every employee to feel invested in transforming our culture and driving innovation.

The Clinical AI Team: Unlocking Insights from Clinical Data

The Clinical AI team at CVS Health is focused on activating clinical data to improve outcomes across multiple lines of business and use cases. As a Lead Data Scientist - Clinical AI, you will be a subject matter expert in clinical data and its applications. You will design, develop, validate, implement, and support predictive models and algorithms that investigate problem spaces, identify patterns, and anticipate outcomes.

Key Responsibilities:

• Leadership and Collaboration: Lead data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solutions.
• Clinical Data Expertise: Be a subject matter expert in clinical data and its applications to solve healthcare problems.
• Predictive Modeling: Design, develop, validate, implement, and support predictive models and algorithms.
• Natural Language Processing (NLP): Utilize NLP and large language models (LLMs) to extract insights and features from unstructured clinical data.
• Clinical Data Feature Store: Lead the development of the clinical data feature store to accelerate adoption of future use cases.
• Data Exploration and Analysis: Explore, validate, interpret, and summarize large amounts of data using advanced statistical and mathematical approaches.
• End-to-End Analytics Solutions: Develop end-to-end analytics solutions, from problem statements to deploying models into production.
• Communication and Collaboration: Build dashboards and data visualizations to effectively communicate analysis results and support decision-making processes.
• Documentation and Presentations: Create documentation of project details and develop presentations and consultations to existing and prospective constituents.
• Technical Coaching: Provide technical coaching and development to data scientists.
• Innovation and Collaboration: Foster a team culture of innovation and collaboration.

Requirements and Qualifications

Essential Qualifications:

• Analytics Experience: 7+ years of relevant analytics experience.
• Advanced Statistics and Machine Learning: Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
• Leadership: Experience leading analytics projects from concept to delivery.
• NLP and LLMs: Experience using NLP, LLMs, and Generative AI (Gen AI) to extract insights from text data.
• Google Cloud Platform (GCP): Experience using GCP tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.
• Communication: Demonstrates strong written and verbal communication skills.

Preferred Qualifications:

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

Education

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

What We Offer

Compensation and Benefits:

• Competitive Salary: The typical pay range for this role is $106,605.00 - $284,280.00.
• Bonus and Incentives: Eligible for a CVS Health bonus, commission, or short-term incentive program.
• Equity Award Program: Award target in the company's equity award program.
• Medical, Dental, and Vision Benefits: Full range of medical, dental, and vision benefits.
• Retirement Savings Plan: Eligible to enroll in the company's 401(k) retirement savings plan.
• Employee Stock Purchase Plan: Eligible to participate in the company's Employee Stock Purchase Plan.
• Life Insurance and Disability Benefits: Fully-paid term life insurance plan and short-term and long-term disability benefits.
• Well-being Programs: Numerous well-being programs, education assistance, free development courses, and CVS store discounts.

Why Join CVS Health?

At CVS Health, we offer a dynamic and supportive work environment that encourages innovation, collaboration, and growth. As a Lead Data Scientist - Clinical AI, you will have the opportunity to:

• Make a Meaningful Impact: Contribute to improving patient care and driving business outcomes.
• Develop Your Skills: Enhance your expertise in clinical data, AI, and analytics.
• Collaborate with a Talented Team: Work with a diverse team of professionals who share a passion for healthcare and innovation.
• Enjoy a Flexible Work Environment: Work remotely and enjoy a modern work style.

Take the Next Step

Are you ready to join our team and revolutionize healthcare with data-driven insights? Apply now and let's discuss how you can become a vital part of our success story.