Head of AI Clinical Excellence
Listed on 2026-08-03
-
IT/Tech
AI Engineer (Applied/Software), Data Scientist
- United States
- Massachusetts
- Cambridge - United States
- Washington – Bothell - United States
- Pennsylvania
- Collegeville - United States
- New York
- New York City
We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.
To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.
Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life‑changing medicines to the world.
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
ROLE SUMMARYAs a hands‑on, proactive, strategic leader, you will advance the application of Artificial Intelligence (AI) across the Clinical Development lifecycle. You will partner closely with the Oncology Clinical Development, Clinical Operations, Biostatistics, Data Science, Medical Affairs, Regulatory Affairs, and Digital organizations to identify, develop, and scale AI‑driven capabilities that improve trial design, data review, study execution, operational efficiency, decision‑making, and regulatory readiness.
ROLERESPONSIBILITIES Strategic AI Leadership
- Develop and execute the enterprise strategy for AI‑enabled Clinical Excellence across Clinical Development.
- Identify high‑value opportunities to accelerate development timelines, improve quality, reduce operational burden, and enhance decision‑making through AI.
- Serve as a trusted advisor to senior leaders on emerging AI capabilities, industry trends, and competitive advancements.
- Drive adoption of AI solutions across study design, protocol optimization, feasibility assessments, patient recruitment, trial execution, and clinical data review.
- Lead development of AI‑enabled approaches to improve clinical trial performance, operational excellence, and portfolio decision‑making.
- Enable predictive and prescriptive analytics to support program‑level and study‑level decisions.
- Partner with digital, data science, and technology teams to design, build, validate, and deploy AI‑powered tools and platforms.
- Establish frameworks for scalable AI solutions that integrate into existing clinical development workflows.
- Responsible for the development of agentic AI, generative AI, predictive analytics, and workflow automation solutions supporting clinical operations and development teams.
- Provide subject matter expertise on global regulatory expectations for AI, machine learning, and advanced analytics within drug development.
- Partner with Regulatory Affairs and Quality organizations to establish AI governance frameworks, validation approaches, and risk management processes.
- Monitor evolving health authority guidance and industry standards related to AI‑enabled development activities.
- Build strong partnerships across the Oncology Clinical Development, Clinical Operations, Biostatistics, Regulatory Affairs, Medical, Safety, and Digital organizations.
- Lead multidisciplinary teams responsible for AI innovation initiatives.
- Drive organizational adoption through education, change management, and capability building.
- Represent the organization in industry forums, consortiums, health authority interactions, and scientific conferences related to AI and Clinical Development innovation.
- Build relationships with key external partners, technology providers, and academic collaborators.
- MD and 4+ years of relevant experience within pharmaceutical, biotechnology, CRO, regulatory, or healthcare organizations OR
- PhD in Life Sciences, Clinical Research, Data Science, Biostatistics, Computer Science, Engineering, or related field and 5+ years of relevant experience within pharmaceutical, biotechnology, CRO, regulatory, or healthcare organizations OR
- MS in Life Sciences, Clinical Research, Data Science, Biostatistics, Computer Science,…
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