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Pfizer

Sr. Manager, RWE/EPI Internal Medicine

Cambridge
Posted 1 day ago
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Role Summary

The Senior Manager/Director, Internal Medicine, position within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of 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 Internal Medicine pipeline assets and approved products. The Senior Manager/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 Anti-Infectives/Migraine Team Lead in RWE/Epi.

Capabilities

  • Skill and experience identifying, designing and supporting or 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.
  • 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.

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PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Qualifications

  • 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 2+ years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and 6+ 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).
  • 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, including risk management and ethical use.

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 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

This role is posted in multiple locations. If you are applying for the role in a secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.

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Purpose

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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Skills

Real-World Evidence
Epidemiology
Quantitative Methods
Technical Writing
Data Visualization
Study Protocol Design
Regulatory Submissions
Project Management
Literature Review
Generative AI
Stakeholder Management
Health Outcomes Research
Biostatistics
Electronic Medical Records
Claims Data Analysis
Peer Review

Location

Cambridge, England, United Kingdom

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