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IQVIA

FSP Epidemiologist (HIV)

Job Posted 4 Days Ago Posted 4 Days Ago
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6 Locations
135K-225K Annually
Senior level
6 Locations
135K-225K Annually
Senior level
Design and conduct epidemiological studies to generate real-world evidence, support study protocol development, and communicate results effectively.
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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
  • Support development of study protocols, analysis plans, and study reports to answer methodologic questions of priority to RWE
  • Support the identification of fit-for-purpose data for the timely execution of the RWE strategy
  • Construct cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed
  • Conduct analyses for descriptive and comparative research using RWD for methodologic research questions
  • 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
  • Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities
  • Coauthor abstracts and manuscripts for external dissemination of methodologic study results

Minimum Requirements

  • PhD in Epidemiology or related field with a minimum of two (2) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment. Master’s degree in epidemiology or relevant scientific field, plus five (5) years of experience in lieu of PhD may be acceptable.
  • HIV prevention research preferred.
  • 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
  • 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

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

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 other status protected by applicable law. https://jobs.iqvia.com/eoe

The potential base pay range for this role, when annualized, is $135,000.00 - $225,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Top Skills

Electronic Medical Record
Epidemiological Studies
Medical Claims Databases
Real World Evidence
Secondary Data Sources

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