Epidemiologist/Senior Epidemiologist, Inflammation, EHR Expertise (FSP Sponsor Dedicated)

Requirements

• PhD in Pharmacoepidemiology; or PharmD with Master's/PhD in Epidemiology; or MD with Master's/PhD in Epidemiology required.
• Experience in multi-database secondary data studies (chart reviews/EHR/registries) used for effectiveness and efficacy required.
• Strong understanding of regulatory requirements related to EHR data use in FDA submission packages.
• Familiarity with standard healthcare data structures including billing codes, diagnostic codes, and EHR-derived variables.
• Strong collaboration skills, ability to work across cross-functional teams and external partners.
• What's in it for you?
• Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare.
• Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies.
• Access IQVIA's global network who supports your growth.
• This is your chance to make an impact, while building a career that matters.
• IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any

Benefits

Additional Information

Location: Remote, candidates must be US-based 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: This role will support real-world evidence generation using secondary data sources, with a focus on studies leveraging EHR, chart review data, and disease registries primarily from academic settings. This role will play a key part in designing and executing observational research that supports effectiveness and efficacy questions, with an emphasis on data quality, study execution, and operational considerations. This position requires an epidemiologist with strong experience working across multi-database environments, including coordinating and integrating data from EHR systems and registries. The role involves ensuring studies are designed and conducted in alignment with regulatory requirements for EHR data included in FDA submission packages, with a strong understanding of real-world data. 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, including development of pertinent sections of regulatory documents, reports, publications, white papers. Support the effective communication of study/analysis results to support internal and external decisions. Coauthor abstracts and manuscripts for external dissemination of methodologic study results. Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities. Technical Expertise: Observational research methods (both Primary and Secondary), deep knowledge of biostatistics and analysis methods, understanding of regulatory processes. Ability to design studies independently, (i.e., ability to translate research questions to create study design). Subject Matter Expertise: Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, PRO/COA, registry data) for methodologic research questions. Deep, hands-on familiarity with EHR data curation behind health system firewalls, including practical knowledge of where key clinical outcomes are captured across data tables. Expert knowledge and extensive experience with pharmacoepi methods (i.e., signal detection and validation methods). Leverage RWE expertise to identify evidence gaps and develop options to address the evidence gaps in support of Clinical Development Programs.

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