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Crea una Job Alert gratuita per senior epidemiologist, hiv treatment, retrospective claims study expertise / trentino-alto adige

Senior Epidemiologist, HIV Treatment, Retrospective Claims Study Expertise

Pubblicato il 15-08-2026 - Iqvia in Trentino-Alto Adige

Location: Remote, candidates should preferably be based in Spain, Portugal or UK (other EU locations may be considered).
Join IQVIA’s Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you’ll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA’s global expertise.
Core Function Description
Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies. Skill sets of the Epidemiologist role are similarly required, with the expectation of more experience, able to operate strategically under limited supervision,



well versed in current Epidemiology research methods, deep understanding of how RWE fits within drug development, regulatory, medical, safety and other functions.
Required Experience
- Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE.
- Lead, design, and manage epidemiological, biomarker and/or data science projects.
- Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries).
- Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy.
- Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed.
- Contribute to the communication of observational research results and methods,

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