Clinical Development Scientist, Director (inflammation and Immunology)

Pfizer Pfizer · Pharma · MA

This Director-level role in Clinical Development for Pfizer's Inflammation and Immunology portfolio focuses on providing medical and scientific leadership for clinical trials. A key aspect of the role is to drive the integration of AI/ML and advanced analytics to transform clinical development workflows, optimize trial design and execution, and translate AI use cases into scalable solutions. The role requires experience applying AI/ML in clinical development and partnering with data science teams.

What you'd actually do

  1. Lead the clinical execution of one or more medium- to high-complexity clinical studies
  2. Provide clinical leadership in protocol design and development
  3. Lead identification and implementation of AI/ML and advanced analytics tools to optimize clinical trial design and execution
  4. Partner with Data Science, Digital, and Technology teams to translate AI use cases into scalable workflows
  5. Contribute to clinical documents (protocols, CSRs, regulatory submissions)

Skills

Required

  • PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in the biopharmaceutical industry, OR MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in the biopharmaceutical industry OR BA/BS in a relevant Science discipline and minimum of 8 years Clinical Research experience in the biopharmaceutical industry
  • Deep knowledge of clinical development, ICH/GCP, global regulatory requirements, and safety management
  • Experience leading complex clinical studies and working effectively in cross‑functional, global teams
  • Strong written and verbal communication skills, with experience engaging internal and external stakeholders
  • Experience applying AI, machine learning, or advanced analytics in clinical development or research (e.g., protocol design and optimization, site selection and feasibility assessment, query management and workflow automation, data cleaning, anomaly detection, and signal identification, safety risk prediction and proactive mitigation)
  • Familiarity with AI-enabled use cases including protocol design, recruitment optimization, data review, and safety prediction
  • Experience partnering with data science or digital teams
  • Understanding of data governance and AI considerations in GxP environments

Nice to have

  • Advanced degree or professional certification in a scientific, medical, or healthcare related discipline
  • Experience in respiratory and/or dermatology therapeutic areas
  • Experience with real-world data, digital endpoints, or innovative clinical technologies

What the JD emphasized

  • Experience applying AI, machine learning, or advanced analytics in clinical development or research
  • Familiarity with AI-enabled use cases including protocol design, recruitment optimization, data review, and safety prediction
  • Understanding of data governance and AI considerations in GxP environments

Other signals

  • AI-enabled and advanced analytics solutions to transform clinical development workflows
  • AI/ML and advanced analytics tools to optimize clinical trial design and execution
  • translate AI use cases into scalable workflows
  • AI-derived insights and data-driven approaches into clinical strategy and regulatory deliverables