Lead Data Scientist - Agentic AI - Patient Safety
CVS Health - Woonsocket, RI
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Weu2019re building a world of health around every individual u2014 shaping a more connected, convenient and compassionate health experience. At CVS Healthu00ae, youu2019ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger u2013 helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a Lead Data Scientist u2013 Agentic AI u2013 Patient Safety to pioneer the next generation of analytics and decision intelligence that supports safe, highu2011quality pharmacy care across our national retail footprint. This role focuses on building and scaling generative AI and agentic AI solutions that enhance medication safety, strengthen clinical decisionu2011making, and improve pharmacy workflows in CVS Pharmacy and our omnichannel pharmacy experience. You will design and execute a safetyu2011first, consumeru2011centric analytics strategy powered by AI agents and LLMs that integrates prescribing, dispensing, adherence, and engagement data to deliver proactive insights and closedu2011loop support for pharmacy teams. You will partner with pharmacy operations, clinical, digital, and technology teams to ensure our techu2011enabled pharmacy remains powered by people, supporting colleagues with intelligent tools while advancing CVS Healthu2019s purpose to simplify health care and improve the health and wellu2011being of those we serve. Required Qualifications + 5+ years of experience in advanced analytics, applied AI/ML, or decision science, with significant work in healthcare, pharmacy, or patient safety. + 3+ years of handsu2011on experience building and deploying solutions with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, AutoGen, CrewAI, RAG), including prompt engineering, fineu2011tuning, safety guardrails, and humanu2011inu2011theu2011loop workflows; prior NLP/ML experience before LLMs is strongly valued. + 5+ years of programming experience in Python and SQL, with experience deploying AI solutions in cloud environments (GCP, AWS, or Azure) and integrating with enterprise data platforms. + 5+ yearsu2019 experience in at least one area of advanced modeling for patient safety and pharmacy operations: predictive modeling for medication safety, medication error detection, nonu2011adherence prediction, timeu2011series forecasting, causal inference, or reinforcement learning for workflow optimization. + 3+ yearsu2019 experience translating complex AI and safety analytics into measurable clinical and business impact, including working with pharmacy leaders, clinical safety, and compliance partners. + 3+ yearsu2019 experience leading endu2011tou2011end AI solution delivery: from data curation and model development through validation, deployment, monitoring, and scaled adoption across retail pharmacy locations. + Demonstrated ability to communicate complex concepts to technical and nonu2011technical stakeholders, with a track record of building intuitive tools for pharmacists, technicians, clinicians, and callu2011center agents. Preferred Qualifications + Experience implementing agentic AI systems for clinical decision support, medication therapy management, or continuous safety surveillance in retail or specialty pharmacy. + Experience with healthcare AI platforms (e.g., Vertex AI, Google Cloud Platform, or equivalent) and integration with dispensing systems, EHRs, PBM platforms, and safety event reporting tools. + -Proficiency with BI and analytics tools (e.g., Tableau, Looker, Power BI) and modern data warehouses (e.g., Snowflake or similar) to enable selfu2011service patient safety analytics for CVS leaders. + Background in pharmacy, healthcare, epidemiology, or patient safety, with a strong interest in leveraging AI to enhance medication safety, adherence, and outcomes at population scale. + Knowledge of AI governance, observability, and ethics frameworks to ensure transparent, auditable, and biasu2011aware decision intelligence in regulated healthcare settings. + Experience collaborating with crossu2011functional teams including clinical safety, quality, risk management, regulatory, digital, and store operations in a large matrixed organization. Education + Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. + Masteru2019s degree or PhD preferred Pay Range The typical pay range for this role is: $130,295.00 - $284,280.00 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. This position also includes an award target in the companyu2019s equity award program. 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 u2013 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 screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit We anticipate the application window for this opening will close on: 02/22/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran u2014 committed to diversity in the workplace.
Created: 2026-02-13