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About the role
- Senior Manager in Epidemiology at Pfizer overseeing real-world evidence studies. Responsible for quality deliverables and collaboration within the Medical Evidence Development team.
Responsibilities
- Support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process.
- Synthesize literature and contribute to the design, conduct and reporting of global epidemiologic research studies on Pfizer I&I products.
- Accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area.
- 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.
- Develop external partnerships to leverage data resources and collaboration on high priority global studies.
- Author and review study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals.
- Responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives.
Requirements
- 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 at least 1 year of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and at least 5 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).
Benefits
- Health insurance
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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