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IQVIA is seeking a Pharmacometrics Support Programmer in Bengaluru, India, to support the global Pharmacometrics modelling team with PK/PD NONMEM datasets and QC of datasets and customized R packages.
You will collaborate with Data Management, Statistical Programming, and bio-analytical teams, ensure data quality and timely delivery, and stay inspection-ready by adhering to SOPs and training requirements. Strong R skills and English communication are essential.
The Pharmacometrics (PM) Support Programmer provides support to the global Pharmacometrics modelling team within Clinical Pharmacology & Pharmacometrics in delivering high quality PK/PD NONMEM datasets. Services also include quality control of the NONMEM datasets, and QC of customized R packages created for the department. Datasets are created both before (unclean data) and after database lock. This function liaises closely with Data Management, Statistical Programming, and bio-analytical teams. Services are delivered by applying efficient R programming skills and knowledge of basic PK/PD concepts.
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.
IQVIA is a global leader in advanced analytics, technology solutions, and clinical research services for the life sciences, enhancing healthcare outcomes through intelligent data connections.
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