Lead Data Scientist - Agentic AI - Patient Safety

Lead Data Scientist - Agentic AI - Patient Safety page is loaded## Lead Data Scientist - Agentic AI - Patient Safety remote type:
Hybrid locations:
MA - Wellesley:
Woonsocket-1 CVS Drivetime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 22, 2026 (22 days left to apply) job requisition :
R0820452

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health, you’ll 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 – 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 – Agentic AI – Patient Safety
** to pioneer the next generation of analytics and decision intelligence that supports safe, high‑quality 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 decision‑making, and improve pharmacy workflows in CVS Pharmacy and our omnichannel pharmacy experience. You will design and execute a safety‑first, consumer‑centric analytics strategy powered by AI agents and LLMs that integrates prescribing, dispensing, adherence, and engagement data to deliver proactive insights and closed‑loop support for pharmacy teams.

You will partner with pharmacy operations, clinical, digital, and technology teams to ensure our tech‑enabled pharmacy remains powered by people, supporting colleagues with intelligent tools while advancing CVS Health’s purpose to simplify health care and improve the health and well‑being 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 hands‑on experience building and deploying solutions with LLMs, generative AI, or conversational AI frameworks (e.g., Lang Chain, Auto Gen, CrewAI, RAG), including prompt engineering, fine‑tuning, safety guardrails, and human‑in‑the‑loop 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+ years’ experience in at least one area of advanced modeling for patient safety and pharmacy operations: predictive modeling for medication safety, medication error detection, non‑adherence prediction, time‑series forecasting, causal inference, or reinforcement learning for workflow optimization.
* 3+ years’ experience translating complex AI and safety analytics into measurable clinical and business impact, including working with pharmacy leaders, clinical safety, and compliance partners.
* 3+ years’ experience leading end‑to‑end 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 non‑technical stakeholders, with a track record of building intuitive tools for pharmacists, technicians, clinicians, and call‑center 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 self‑service 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…