RWE/Epi Scientist (Real-World Data & Epidemiology)

JOB SUMMARY The purpose of this role is to: Applies epidemiologic methods, quantitative analytics, and real-world data (RWD) to scale AI-driven knowledge systems that generate high-quality real-world evidence. Partners with medical, scientific, safety, and development teams to identify evidence gaps and inform evidence-generation strategies. Conducts patient population characterization , treatment pattern analyses, and outcomes assessments to support decision-making. Leverages diverse healthcare data sources, including EHRs, claims, registries, and other RWD assets . Produces timely, decision-ready insights that support medicine development, safety evaluation, clinical development, and lifecycle management. Develops and applies scalable analytical frameworks for rapid evidence assessment and cohort evaluation. Provides quantitative decision support aligned with organizational and strategic priorities. Helps accelerate evidence generation through efficient, reproducible, and data-driven analytical approaches. JOB RESPONSIBILITIES Build and scale enterprise AI and knowledge platforms that accelerate evidence generation and decision-making. Conduct epidemiologic and real-world data analyses using claims, EHR, registry, and observational data sources. Develop study cohorts, analytic datasets, and evidence-generation frameworks to support research and strategic decisions. Generate rapid, decision-ready evidence to address evidence gaps, inform study design, and support medical, safety, and development priorities. Apply epidemiologic methods and observational study designs while ensuring scientific rigor, methodological quality, and governance compliance. Develop quantitative models and structured assessments that support evidence prioritization and portfolio decision-making. Translate complex analytical findings into actionable insights through visualizations, reports, presentations, and scientific communications. Partner across epidemiology, biostatistics, medical, safety, clinical development, regulatory, and health economics functions to advance evidence-generation strategies. Contribute to reusable analytical assets, best practices, and innovation in real-world evidence and advanced analytics. QUALIFICATIONS / SKILLS Master's degree in Epidemiology, Biostatistics, Public Health, Health Services Research, Biomedical Informatics, Data Science, or a related quantitative discipline plus 3+ years of related experience ( PhD preferred but not required. Experience analyzing real-world healthcare data, including claims or electronic health records. Working knowledge of epidemiologic study designs and observational research methods. Experience with statistical programming languages such as R, SAS, Python, or SQL. Familiarity with healthcare coding systems including ICD, SNOMED, CPT, HCPCS, RxNorm, or related standards. Experience conducting rapid analyses within a matrixed research environment. Strong analytical and problem-solving skills. Ability to communicate complex quantitative findings clearly. Strong organizational and project-management skills. Ability to work independently while collaborating effectively within multidisciplinary teams. Commitment to scientific rigor, transparency, and reproducibility. Strong written and verbal skills in English language ORGANIZATIONAL RELATIONSHIPS Reports to relevant Director/Sr Dir Works cross-functionally with MED/IEG relevant project team(s) members (i.e. cross-functional teams within CMO, MED and IEG, supporting multiple therapeutical areas, digital, medical affairs, safety, clinical development, regulatory ) Works directly or indirectly with external contacts within assigned region(s), as well as relevant experts and key opinion leaders Work Location Assignment: Hybrid Please apply by sending your CV and a motivational letter in English This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. 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 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 . 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. 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