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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-enabled Clinical Excellence, focusing on the development and execution of strategies that enhance clinical trial performance and operational excellence. Proficient in predictive analytics, regulatory compliance, and leading cross-functional teams to drive AI adoption in clinical research.
Highest-signal resume keywords
AI Strategy DevelopmentClinical Development ExpertiseRegulatory Compliance KnowledgeMachine Learning ImplementationCross-Functional Leadership
ATS Keywords
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Hard Skills
AI Solutions DevelopmentPredictive AnalyticsGenerative AILarge Language Models (LLMs)Workflow AutomationClinical Trial DesignData ScienceBiostatisticsRegulatory ScienceClinical Informatics
Soft Skills
Excellent CommunicationExecutive InfluencingTeam LeadershipCollaborationChange Management
Industry Keywords
PharmaceuticalBiotechnologyCROHealthcareGCPOncologyRegulatory AffairsClinical OperationsHealth Authority GuidanceAI Governance
Tech Stack
Tools & technologiesGoogle Cloud Platform
About the role
Key responsibilities & impact- Develop and execute the enterprise strategy for AI-enabled Clinical Excellence across Clinical Development
- Identify opportunities to accelerate development timelines, improve quality, reduce operational burden, and enhance decision-making through AI
- Advise 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 AI-enabled approaches to improve clinical trial performance, operational excellence, and portfolio decision-making
- Enable predictive and prescriptive analytics for 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 integrated into clinical development workflows
- Develop 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 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 partnerships across 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
- Build relationships with external partners, technology providers, and academic collaborators
- Occasional travel may be required
Requirements
What you’ll need- 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, Engineering, or related field and 7+ years of relevant experience within pharmaceutical, biotechnology, CRO, regulatory, or healthcare organizations
- 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
- 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
- Breadth of diverse leadership experiences and capabilities, including influencing and collaborating with peers, developing and coaching others, and overseeing and guiding colleagues to achieve meaningful outcomes and business impact
- Candidates must be authorized to be employed in the U.S. by any employer
- Permanent work authorization in the United States is required
- U.S. work visa sponsorship is not available now or in the future
Benefits
Comp & perks- Pfizer Global Performance Plan with a bonus target of 20.0% of the base salary
- Share based long term incentive program
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation, holiday and personal days
- Paid caregiver/parental and medical leave
- Medical, prescription drug, dental and vision coverage
- Relocation assistance may be available based on business needs and/or eligibility
