More jobs:
PK/PD Statistical Programmer; m/w/d; homebased
Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listed on 2026-10-20
London, Greater London, W1B, England, UK
Listing for:
IQVIA
Remote/Work from Home
position Listed on 2026-10-20
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Data Engineering
Job Description & How to Apply Below
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.
** Key Responsibilities
** Program, validate, and deliver
** NONMEM‐ready PK/PD datasets
** based on SDTM/ADaM standards using advanced R programming skills.
Create high‐quality PK/PD datasets for both pre‐lock and post‐lock clinical data.
Independently execute programming tasks of
** medium to high complexity
** with excellent accuracy and timeliness.
Critically review data, identify inconsistencies or gaps, and propose solutions to improve dataset quality and programming efficiency.
Perform quality control (QC) of NONMEM datasets, including those produced by external partners.
Support preparation of deliverables for regulatory submissions following internal Pharmacometrics guidelines.
Conduct QC of customized R packages used for pharmacometrics workflows; enhance or build automated test suites where needed.
Liaise with cross‐functional teams including Data Management, Biostatistics, Statistical Programming, and Bioanalytical groups to resolve data issues and ensure alignment.
Adhere to relevant SOPs, working instructions, and regulatory standards; maintain inspection readiness.
Contribute as a technical driver in the development and improvement of new PM standardization initiatives related to dataset creation and QC.
** Required Qualifications
** Bachelor’s or Master’s degree in a health, science, IT, mathematics, or related field.
** Minimum 6 years of industry experience
** in clinical data analysis, statistical programming, or pharmacometrics support.
** Expert‐level proficiency in R
** for data processing, dataset creation, and QC automation.
Hands‐on experience creating
** NONMEM datasets**, including complex data structures for PK/PD analyses.
Strong understanding of
** SDTM**,
** ADaM**, and controlled terminology.
Applied knowledge of
** PK/PD principles
** and clinical trial concepts.
High attention to detail with strong analytical, documentation, and communication skills.
Ability to work independently and collaboratively across global, cross‐functional teams
** Preferred Skills
*** Experience building or enhancing standardized workflows for NONMEM dataset creation, submission packages, and QC.
Experience with R package testing, validation frameworks, or reproducible programming practices.
Familiarity with pharmacometrics workflows in clinical or real‐world settings.
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
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×