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IQVIA is seeking an experienced PK/PD Statistical Programmer (m/w/d) to support Pharmacometrics by producing high-quality PK/PD datasets. The role focuses on programming in R, creating NONMEM-ready data, and ensuring rigorous QC following SDTM/ADaM standards.
The position requires 6+ years in clinical data analysis or pharmacometrics, with strong R skills and collaboration across global teams; homebased options are available, with flexibility for UK/Europe sites.
Locations: Reading, Berkshire, United Kingdom | Paris, France | Barcelona, Spain | Budapest, Hungary | Turku, Finland | Dublin, Ireland | Athens, Greece | Frankfurt, Hesse, Germany | Madrid, Spain | Copenhagen, Denmark | Stockholm, Sweden
Country: United Kingdom
Country code: GB
Time type: Full time
Posting start date (Workday): 2026-10-08
Requisition ID: R1573232
We are seeking an experienced PK/PD Statistical Programmer with strong experience in R programming, PK/PD datasets, and NONMEM dataset creation. This role supports Pharmacometrics by producing high‑quality, compliant datasets for modeling and analysis, ensuring accuracy from early (unclean) through post‑lock clinical data. The ideal candidate brings deep technical expertise, strong problem‑solving skills, and a solid understanding of PK/PD principles.
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 committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.