Sr. Manager, RWEEPI Internal Medicine

TheSenior Manager/DirectorInternal Medicineposition within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi)provides an opportunity for a collaborative epidemiologisttosupportreal-world evidence and epidemiologic studiesas part ofMedicalstrategy across the entire drug development process.

The candidate willbe responsible forsynthesizing the literature and contributing to the designconductandreporting of global epidemiologic research studies on Pfizer Internal Medicine pipeline assets and approved Manager/Directorwill also be accountable for the quality timeliness and efficiencyofall 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 candidate will develop external partnerships toleveragedataresources and collaboration on high priority global include authoringand reviewingstudy protocols reports and presentations as well ascommunicationin writing and presentations to internal stakeholders regulatory authorities and medical candidate will alsobe responsible fornon-study deliverables such as RWE insights epidemiology literature reviews regulatory responses and department initiatives.

This position will report directly to theAnti-Infectives/Migraine TeamLeadinRWE/Epi.

• Skill and experienceidentifyingdesigningandsupporting orleading 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 identifyappropriate studiesfor 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 FDAEMAand other agencies.

• Deliverrapid insights from real-worldobservational data source.

• Develop and deliver presentations webinars manuscripts scientific datapackagesor other communication modalities.

• Assure the highest standards of qualitycomplianceand 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 othermetricsand business goals.

• PhD in Epidemiology Statistics/BiostatisticsHealth Outcomes ResearchQuantitative Methods Public Health Health Economics or Other Biological Science fields with a substantial quantitative component and2yearsof relevant experience in the pharmaceutical academic and/or medical environment; or MPH or another relevant Masters degree and6 yearsof experience in the pharmaceutical academic and/or medical environmentat least1of which were in the pharmaceutical industry.

• Demonstrated strong quantitative skills and methodsexpertiseto 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 witha high levelof autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment.

• Knowledgeable of the external regulatory environment for real-world evidence andmaintainsawareness 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 includingrisk management and ethical use.

• Proficiencyin 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

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