Lead Data Scientist – Clinical AI & Healthcare Analytics – Remote – Transforming Patient Outcomes with AI-Powered Insights

Join the CVS Health Team as a Lead Data Scientist and Revolutionize Clinical AI CVS Health is a leading healthcare company that is dedicated to transforming the way healthcare is delivered. With a focus on putting the patient at the center of everything we do, we are seeking a talented Lead Data Scientist to join our Clinical AI team. As a Lead Data Scientist, you will have the opportunity to work on cutting-edge projects that leverage clinical data to improve patient outcomes and drive business growth. About CVS Health At CVS Health, we are passionate about delivering enhanced human-centric healthcare for a rapidly changing world. Our purpose is to bring our heart to every moment of your health, and we are committed to making healthcare more personal, convenient, and affordable. With a diverse team of professionals who share a common goal of transforming healthcare, we offer a dynamic and supportive work environment that encourages innovation, collaboration, and growth. Our Culture and Values Our culture is built on a set of core values that guide everything we do. We value: • Integrity: We act with integrity and transparency in everything we do. • Respect: We treat each other with respect and dignity, regardless of background or perspective. • Accountability: We take ownership of our actions and outcomes. • Collaboration: We work together as a team to achieve common goals. • Innovation: We encourage innovation and creativity in everything we do. Job Summary As a Lead Data Scientist on our Clinical AI team, you will be responsible for designing, developing, and deploying predictive models and algorithms that investigate problem spaces, identify patterns, and support decision-making processes. You will lead a team of data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solutions that drive business growth and improve patient outcomes. Key Responsibilities • Leadership: Lead data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solutions. • Clinical Data Expertise: Provide subject matter expertise in clinical data and its application to solve healthcare problems. • Predictive Modeling: Design, develop, validate, implement, and support predictive models and algorithms that investigate problem spaces, identify patterns, and support decision-making processes. • Natural Language Processing: Utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from unstructured clinical data. • Data Feature Store: Lead the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data. • Data Exploration: Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches. • End-to-End Analytics Solutions: Develop end-to-end analytics solutions, from developing problem statements to deploying models into production. • Communication: Build dashboards and data visualizations to effectively communicate analysis results and support decision-making processes. • Documentation: Create documentation of project details, like problem statements, business outcomes, data exploration, ML model details, and deployment/support instructions. • Presentations: Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions. • Coaching: Provide technical coaching and development to data scientists. • Team Culture: Foster a team culture of innovation and collaboration. Requirements Essential Qualifications • Analytics Experience: 7+ years of relevant analytics experience. • Advanced Statistics: Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms. • Leadership: Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders. • NLP and LLMs: Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data. • Google Cloud Platform: Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer to implement scalable analytics solutions. • Communication: Demonstrates strong written and verbal communication skills, including the ability to present complex ideas to various audiences. Preferred Qualifications • Healthcare Experience: Experience solving analytics problems in the healthcare domain using clinical data. • 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. Career Growth Opportunities and Learning Benefits At CVS Health, we are committed to the growth and development of our employees. We offer a range of career growth opportunities and learning benefits, including: • Training and Development: Access to training and development programs that help you build new skills and advance in your career. • Mentorship: Opportunities to work with experienced mentors who can provide guidance and support. • Career Advancement: Opportunities for career advancement and promotion. • Education Assistance: Education assistance programs that help you pursue your educational goals. Work Environment and Company Culture At CVS Health, we offer a dynamic and supportive work environment that encourages innovation, collaboration, and growth. Our company culture is built on a set of core values that guide everything we do. We offer: • Remote Work: The opportunity to work remotely and have a flexible work schedule. • Collaborative Environment: A collaborative and dynamic work environment that encourages innovation and growth. • Recognition Programs: Recognition programs that reward employees for their contributions and achievements. • Wellness Programs: Wellness programs that promote employee health and well-being. Compensation and Benefits We offer a competitive compensation package that includes: • Salary: A competitive salary range of $106,605.00 - $284,280.00. • Bonus and Incentives: Opportunities for bonuses and incentives. • Equity Award Program: An award target in the company’s equity award program. • Medical, Dental, and Vision Benefits: A full range of medical, dental, and vision benefits. • 401(k) Retirement Savings Plan: A 401(k) retirement savings plan. • Employee Stock Purchase Plan: An Employee Stock Purchase Plan. • Paid Time Off: Paid time off and vacation pay. • Holidays: Paid holidays throughout the calendar year. Conclusion If you are a motivated and talented Lead Data Scientist who is passionate about clinical AI and healthcare analytics, we encourage you to apply for this exciting opportunity. As a Lead Data Scientist at CVS Health, you will have the opportunity to work on cutting-edge projects that leverage clinical data to improve patient outcomes and drive business growth. We offer a competitive compensation package, career growth opportunities, and a dynamic and supportive work environment. Apply now and join our team of innovative and talented professionals! Apply This Job Apply tot his job Apply To this Job