Senior Manager, MED Oncology RWE/Epi Scientist

Pfizer

. Synthesize literature and contribute to the design, conduct, and reporting of global epidemiologic research studies on Pfizer Oncology pipeline assets and approved products .

Posted 10/8/2026full-timeRemote • PolandSenior💰 PLN 1,275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in epidemiology and real-world evidence research, with strong quantitative skills for data analysis and insights generation. Proficient in technical writing and presentations, capable of collaborating across functions and managing multiple projects effectively.

Highest-signal resume keywords

PhD In EpidemiologyReal-World Evidence StudiesQuantitative Methods ExpertiseTechnical Writing SkillsProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisEpidemiology Literature ReviewsStudy Protocol DevelopmentData VisualizationStatistical AnalysisReal-World Data ManipulationRegulatory SubmissionsResearch DesignObservational Data InsightsHealth Outcomes Research

Soft Skills

CollaborationProblem-SolvingDecision-MakingCommunicationLeadership

Tools & Technologies

Rapid Real-World Data Analytical PlatformsData Visualization ToolsPresentation SoftwareStatistical Software

Industry Keywords

Pharmaceutical IndustryRegulatory EnvironmentReal-World EvidenceIntegrated Evidence PlansCross-Functional Collaboration

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

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