Sr. Manager, RWE/EPI Internal Medicine

The Senior Manager/Director, Internal Medicine, position within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process.

The candidate will be responsible for synthesizing the literature and contributing to the design, conduct and reporting of global epidemiologic research studies on Pfizer Internal Medicine pipeline assets and approved products. The Senior Manager/Director will also be accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area, and maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new opportunities for RWE/Epi to increase the value of Pfizer assets. The candidate will develop external partnerships to leverage data resources and collaboration on high priority global studies. Responsibilities include authoring and reviewing study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals. The candidate will also be responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives.

This position will report directly to the Anti-Infectives/Migraine Team Lead in RWE/Epi.

Capabilities

• Skill and experience identifying, designing and supporting or leading real-world evidence studies of disease epidemiology and effectiveness as part of the global cross-functional Integrated Evidence Plan.
• Maintain knowledge and awareness of internal and external data resources and identify appropriate studies for addressing questions of interest, recognizing the limitations and strengths of various design options and data sources.
• Partner with Chief Medical Office colleagues to address asset team evidence needs and support global regulatory submissions to the FDA, EMA and other agencies.
• Deliver rapid insights from real-world, observational data source.
• Develop and deliver presentations, webinars, manuscripts, scientific data packages or other communication modalities.
• Assure the highest standards of quality, compliance and management of all research activities.
• Participate in RWE/Epi peer review of study protocols and study reports.
• Document all requests and track progress toward project completion, other metrics and business goals.

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Medical

• PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and 2+ years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and 6+ years of experience in the pharmaceutical, academic and/or medical environment, at least 1 of which were in the pharmaceutical industry.
• Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world / observational data source.
• Demonstrated strong technical writing skills and oral presentation skills with a track-record of publishing in peer-reviewed journals and presenting at medical/scientific conferences.
• Demonstrated ability to convert complex analysis into meaningful insights with data visualization and presentation tools and able to manipulate and analyze complex structured and unstructured data from multiple real world evidence sources.
• Ability to work under pressure with a high level of autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment.
• Knowledgeable of the external regulatory environment for real-world evidence and maintains awareness of scientific developments in epidemiology, medicine, and technology (e.g., artificial intelligence).
• Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.

• Proficiency in rapid real-world data analytical platforms.
• Experience working with real-world data (RWD) including Electronic Medical Records (EMR), claims, and surveys.
• Excellent problem-solving and decision-making abilities.
• Ability to influence and collaborate with senior management and stakeholders.
• Strong project management skills with the ability to handle multiple projects simultaneously.

Please apply by sending your CV in English.

Work Location Assignment: Hybrid


This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.