Head of AI Clinical Excellence

Pfizer Pfizer · Pharma · PA

Head of AI Clinical Excellence at Pfizer, responsible for leading the strategy, development, and deployment of AI solutions across the Clinical Development lifecycle. This role involves partnering with various departments to improve trial design, data review, execution, and regulatory readiness, with a focus on agentic AI, generative AI, and predictive analytics in a regulated healthcare environment.

What you'd actually do

  1. Develop and accountable to execute the enterprise strategy for AI-enabled Clinical Excellence across Clinical Development.
  2. Drive adoption of AI solutions across study design, protocol optimization, feasibility assessments, patient recruitment, trial execution, and clinical data review.
  3. Partner with digital, data science, and technology teams to design, build, validate, and deploy AI-powered tools and platforms.
  4. Provide subject matter expertise on global regulatory expectations for AI, machine learning, and advanced analytics within drug development.
  5. Build strong partnerships across the Oncology Clinical Development, Clinical Operations, Biostatistics, Regulatory Affairs, Medical, Safety, and Digital organizations.

Skills

Required

  • MD and 4+ years of relevant experience OR PhD and 5+ years of relevant experience OR MS and 7+ years of relevant experience
  • Experience designing, developing, and implementing AI, machine learning, or advanced analytics solutions in clinical research settings.
  • Experience supporting Clinical Development, Clinical Operations, Clinical Science, Clinical Data Review, or Regulatory Science activities.
  • Experience leading cross-functional programs involving clinical, regulatory, scientific, and technical stakeholders.
  • Strong understanding of GCP, clinical trial conduct, drug development processes, and regulatory requirements.
  • Experience translating complex scientific or operational challenges into scalable technology-enabled solutions.
  • Excellent communication and executive influencing skills.

Nice to have

  • Expertise in Clinical Development, Oncology, Regulatory Science, Data Science, or Clinical Informatics.
  • Experience developing and deploying Large Language Models (LLMs), Generative AI, Agentic AI systems, or workflow automation platforms in regulated environments.
  • Experience in Oncology
  • Familiarity with emerging regulatory frameworks governing AI-enabled drug development.
  • Experience interacting with global regulatory agencies (e.g. FDA, EMA, MHRA, PMDA, Health Canada
  • Experience leading enterprise AI transformation initiatives.
  • Strong publication record and scientific credibility within clinical research and AI innovation.
  • Experience building and leading high-performing teams.

What the JD emphasized

  • AI-driven capabilities
  • AI-enabled solutions
  • AI-powered tools and platforms
  • agentic AI
  • generative AI
  • predictive and prescriptive analytics
  • workflow automation
  • regulatory agencies
  • global regulatory expectations
  • AI governance frameworks
  • validation approaches
  • risk management processes
  • health authority guidance
  • regulated environments

Other signals

  • AI-driven capabilities
  • AI-enabled solutions
  • AI-powered tools and platforms
  • agentic AI
  • generative AI
  • predictive and prescriptive analytics
  • workflow automation