RWE/Epi, Inflammation & Immunology, Director

Role Summary

The Real-World Evidence & Epidemiology (RWE/Epi), Inflammation & Immunology (I&I), Director position within Medical Evidence Generation provides an opportunity for a collaborative epidemiologist to lead real-world evidence and epidemiologic studies to support 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 I&I products. The 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 I&I Team Lead in RWE/Epi.

Capabilities

• Skill and experience identifying, designing and 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
• Maintain knowledge and applicability of contemporary analytic approaches and research tools such as machine learning, natural language processing, data visualization and predictive modeling
• 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

Qualifications

• PhD in Epidemiology, Statistics/Biostatistics, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and at least 5 years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and at least 7 years of experience in the pharmaceutical, academic and/or medical environment, at least 3 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)

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Work Location Assignment: Hybrid

Bonus Points If You Have (Preferred Requirements):

• 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 abil