Senior Manager, MED Oncology RWE/Epi Scientist

• Synthesize literature and contribute to the design, conduct, and reporting of global epidemiologic research studies on Pfizer Oncology pipeline assets and approved products
• Account for the quality, timeliness, and efficiency of RWE/Epi deliverables in assigned product/disease areas
• Maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new RWE/Epi opportunities
• Develop external partnerships to leverage data resources and collaborate on high-priority global studies
• Author and review study protocols, reports, and presentations
• Communicate in writing and presentations with internal stakeholders, regulatory authorities, and medical professionals
• Deliver non-study outputs including RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives
• Identify, design, support, and lead real-world evidence studies of disease epidemiology and effectiveness within global cross-functional Integrated Evidence Plans
• Maintain awareness of internal and external data resources and select appropriate study designs 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 sources
• Develop and deliver presentations, webinars, manuscripts, scientific data packages, and other communications
• Ensure quality, compliance, and management of research activities
• Participate in peer review of RWE/Epi study protocols and reports
• Document requests and track project progress, metrics, and business goals
• Report directly to the Oncology Team Lead in RWE/Epi

• PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or another biological science field with a substantial quantitative component, plus at least 1 year of relevant experience; OR an MPH or another relevant Master’s degree plus at least 5 years of experience, including at least 1 year in the pharmaceutical industry
• Strong quantitative skills and methods expertise for generating rapid insights from real-world/observational data
• Strong technical writing and oral presentation skills, with a track record of publishing in peer-reviewed journals and presenting at medical/scientific conferences
• Ability to convert complex analysis into meaningful insights using data visualization and presentation tools
• Ability 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
• Ability to collaborate with multiple partners in a matrixed environment
• Knowledge of the external regulatory environment for real-world evidence
• Awareness of scientific developments in epidemiology, medicine, and technology, including artificial intelligence
• Proficiency in rapid real-world data analytical platforms (preferred)
• Experience with real-world data, including electronic medical records, claims, and surveys (preferred)
• Strong problem-solving and decision-making abilities (preferred)
• Ability to influence and collaborate with senior management and stakeholders (preferred)
• Strong project management skills and ability to handle multiple projects simultaneously (preferred)

• Flexible workplace culture supporting work-life harmony
• Reasonable adjustments to support candidates and employees with disabilities
• Accessibility assistance during the application and interview process