Xingran W.
Real World Data Methodologist @Sanofi
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WORK HISTORY
Real World Data Methodologist @Sanofi
Toronto, ON, CA
Provide guidance related to pharmacoepidemiologic or health outcomes research methods and real-world data expertise to ensure the success of prioritizing digital product lines and data expansion programs globally and locally.• Lead analytical programming and method developments to generate real-world evidence (RWE) tailored to stakeholder feasibility study needs, and review RWE analysts’ programs to ensure proper implementation of epidemiological concepts/study designs.• Work with team leads to ensure the applications of using GenAI technologies adhere to scientific rigors, existing literature, and clinical relevance while leveraging real-world data (e.g, EHR, public health surveillance data, disease registry, medical claims data).• Serve as the subject matter expert in the evaluation of external real-world data oerings based on epidemiological standards/business use cases to diversify the real-world data assets for Sanofi• Lead assessment studies, literature review, and data visualizations to evaluate the appropriateness and eectiveness of the internal real-world data use cases/initiatives, then communicate complex concepts/findings in plain language to leadership for evidence-based decision making.• Ensure that complex healthcare data and epidemiology study designs/methods are transformed into clear, evidence-based conclusions that drive better patient outcomes and inform strategic decisions at Sanofi.
EDUCATION
Jiangnan University
Bachelor of Laws (LLB), Social Work
Penn State College of Medicine
Doctor of Public Health, Epidemiology; Biostatistics; Behavioral Aspects of Health
Penn State University
Graduate Certificate, Applied Statistics
University of Pennsylvania
Master of Social Work - MSW, Clinical/Medical Social Work
SKILLS
ABOUT XINGRAN W.
Xingran is an epidemiologist with over seven years of experience in epidemiology and health service research, utilizing large real-world data sets such as healthcare claims data, electronic health records, public health surveillance data, and disease registries. He holds a Doctor of Public Health degree from Penn State College of Medicine, a Graduate Certificate in Applied Statistics from Penn State, and a Master of Social Work degree (Clinical Concentration) from the University of Pennsylvania.Xingran has served as an Epidemic Intelligence Service (EIS) Officer at the U.S. Centers for Disease Control and Prevention (CDC), a two-year postgraduate fellowship renowned for training \"disease detectives\" who are at the forefront of investigating and responding to public health emergencies. This experience equipped him with advanced skills in conducting epidemiologic investigations, evaluating/designing surveillance systems, and responding to infectious disease outbreaks and other public health threats.His career in public health was inspired by extensive fieldwork and research in social welfare and population health. Xingran\'s primary focus is on analyzing healthcare service data to identify service gaps, understand utilization patterns, study patients\' healthcare-seeking behaviors, assess the dissemination of healthcare resources, and evaluate healthcare service outcomes.As part of his future plans, Xingran aims to leverage his expertise in epidemiology, data science, and GenAI/LLM to improve the quality of life and well-being of individuals with chronic diseases (immunological, neurological, and oncological) and infectious diseases (vaccine-preventable). Xingran\'s career goal is to use findings from health service research to inform patients, practitioners, and healthcare policymakers on strategies to reduce adverse health outcomes and enhance overall healthcare quality at the population level.
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