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Clinical Development Scientist, Director; Inflammation and Immunology

Job in Cambridge, Middlesex County, Massachusetts, 02138, USA
Listing for: Pfizer
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Clinical Development Scientist, Director (Inflammation and Immunology)
POSITION SUMMARY

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, 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

PREFERRED QUALIFICATONS

* 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 technologies

* Demonstrates intellectual curiosity and proactively explores emerging tools (including AI) to continuously improve and transform clinical development workflows

* Demonstrates digital and data fluency, with ability to leverage AI tools responsibly and effectively

* Balances innovation with patient safety, regulatory compliance, and scientific rigor

* Demonstrates strong judgment and decision-making

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful…
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