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Clinical Development Scientist, Director; Inflammation and Immunology

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Pfizer, S.A. de C.V
Full Time position
Listed on 2026-07-13
Job specializations:
  • Science
    Clinical Research
Salary/Wage Range or Industry Benchmark: 176600 - 294300 USD Yearly USD 176600.00 294300.00 YEAR
Job Description & How to Apply Below
Position: Clinical Development Scientist, Director (Inflammation and Immunology)

Clinical Development Scientist, Director (Inflammation and Immunology)

  • United States
    - Massachusetts
    - Cambridge

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.

You will provide medical and scientific leadership for one or more complex clinical trials within our Inflammation and Immunology portfolio. You will be responsible for the clinical integrity, scientific quality, and patient safety of clinical studies, partnering closely with Clinical Operations and cross‑functional stakeholders to deliver high‑quality, efficient trials.

You will play a critical role in protocol development, study execution, data interpretation, and risk management, while serving as the primary clinical contact for investigators and internal study teams.

In addition, you will drive the integration of AI‑enabled and advanced analytics solutions to transform clinical development workflows, improving speed, efficiency, and decision‑making across the clinical trial lifecycle.

KEY RESPONSIBILITIES

Core Clinical Leadership

  • Lead the clinical execution of one or more medium‑to‑high‑complexity clinical studies
  • Provide clinical leadership in protocol design and development
  • Partner with Clinical Operations and cross‑functional teams
  • Oversee clinical data review and safety surveillance
  • Serve as the primary clinical contact for stakeholders

AI‑Enabled Clinical Development & Innovation

  • Lead identification and implementation of AI/ML and advanced analytics tools to optimize clinical trial design and execution
  • Partner with Data Science, Digital, and Technology teams to translate AI use cases into scalable workflows
  • Champion adoption of innovative tools across study teams

Clinical Strategy and Deliverables

  • Contribute to clinical documents (protocols, CSRs, regulatory submissions)
  • Support risk management and safety review
  • Incorporate AI‑derived insights and data‑driven approaches into clinical strategy and regulatory deliverables where appropriate
MINIMUM QUALIFICATIONS
  • PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in the biopharmaceutical industry
  • MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in the biopharmaceutical industry
  • 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, 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
PREFERRED QUALIFICATIONS
  • 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
COMPETENCIES FOR SUCCESS
  • Promotes innovation and challenges the status quo
  • Embraces evolving…
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