AI Lead for Clinical Excellence

Pfizer; Northern (KY); Hybrid; USD 177,000 - 294,000; Full time

Benefits offered by this job

Hybrid work model

Annual bonus up to 20%

Job summary

Pfizer is seeking an senior leader to advance AI across the Clinical Development lifecycle. The role partners with Oncology Clinical Development, Clinical Operations, Biostatistics, Data Science, Medical Affairs, Regulatory Affairs, and Digital teams to scale AI-enabled capabilities that improve trial design, data review, and decision-making.

The role requires MD (or PhD/MS) and 4+ years in pharma/biotech with hands-on AI experience in regulated environments, plus strong GCP knowledge and

Qualifications

• Experience designing, developing, and implementing AI in clinical research settings.
• Experience supporting Clinical Development, Clinical Operations, Clinical Data Review, or Regulatory Science activities.
• Experience leading cross-functional programs involving clinical, regulatory, scientific, and technical stakeholders.
• Strong understanding of GCP, trial conduct, and regulatory requirements.
• Excellent communication and executive influencing skills.

Responsibilities

• Develop and execute the enterprise AI strategy for Clinical Development.
• Identify opportunities to accelerate timelines and reduce burden using AI.
• Lead adoption of AI in study design, recruitment, execution, and data review.
• Partner with digital and data science teams to deploy AI-powered tools.
• Establish governance and risk management for AI in regulated environments.

Skills

AI in clinical development

Cross-functional leadership

Regulatory awareness

GCP knowledge

Executive communication

Education

MD

PhD

MS

Job description

Pfizer is seeking an senior leader to advance AI across the Clinical Development lifecycle. The role partners with Oncology Clinical Development, Clinical Operations, Biostatistics, Data Science, Medical Affairs, Regulatory Affairs, and Digital teams to scale AI-enabled capabilities that improve trial design, data review, and decision-making.

The role requires MD (or PhD/MS) and 4+ years in pharma/biotech with hands-on AI experience in regulated environments, plus strong GCP knowledge and