About The Position

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. Overview: 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.

Requirements

  • PhD in Epidemiology with a minimum of four (4) years of post-doctoral experience, preferably at a pharmaceutical company. Master’s degree in Epidemiology plus 7-9 years of experience in lieu of PhD may be acceptable.
  • Oncology Specific: expert knowledge and extensive experience (at least 2+ years leading studies) with cancer epi (solid tumor experience a plus), extensive experience with oncology EMR databases, extensive experience with conducting cancer epi studies.
  • Pharmaco Epidemiology Specific: expert knowledge and extensive experience with pharmacoepi methods (i.e., signal detection and validation methods), expert understanding of regulatory requirements for safety reporting and analysis, RMPs, and PASS both US and global.
  • Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development.
  • Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases.
  • A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred.
  • Demonstrated ability to function with an increasing level of autonomy and to develop productive cross- functional collaborations in a matrix environment.
  • Ability to manage priorities and performance targets.

Responsibilities

  • 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.

Benefits

  • 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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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