> Markdown version of [/jobs/ext/3665228-statistical-programmer-ii-pk](https://www.wearedevelopers.com/jobs/ext/3665228-statistical-programmer-ii-pk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Statistical Programmer II (PK) - **Company:** ICON plc - **Location:** Reading, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clinical Data Repository, Data Cleansing, R (Programming Language), Information Technology, Data Management - **Published:** October 10, 2026 - **Apply:** https://dejobs.org/x/x/7FE7521D878846798E9AB4CAB075BCEB/job/ ## About the Role We are seeking an experienced Pharmacometrics Support Programmer to join a global FSP team. This is an opportunity for a highly analytical programmer with strong R programming expertise and experience in PK/PD data preparation to contribute to critical drug development programmes., * Bachelor's degree in a Life Science, Health Science, Statistics, Computer Science, IT, or related discipline. * Minimum of 6 years' experience within the pharmaceutical, biotechnology, or CRO industry. * Strong programming expertise in R. * Experience developing and quality controlling NONMEM PK/PD datasets. * Working knowledge of PK/PD principles and pharmacometric workflows. * Strong understanding of SDTM, ADaM, and CDISC standards, including controlled terminology. * Experience supporting NONMEM file creation, quality control, submissions, and standardisation activities. * Strong attention to detail and commitment to data quality. * Excellent written and verbal communication skills in English. Desired Skills * Experience reviewing and managing outsourced programming deliverables. * Experience validating or quality controlling customised R packages. * Demonstrated ability to identify process improvements and drive standardisation initiatives. * Ability to work effectively across global, cross-functional teams. ## Description In this role, you will be responsible for the creation, quality control, and standardisation of NONMEM PK/PD datasets, supporting pharmacometric modelling activities across a diverse clinical portfolio. Working closely with Data Management, Statistical Programming, Statistics, Bioanalytical teams, and external partners, you will play a key role in ensuring high-quality pharmacometric data is delivered on time and to the highest regulatory standards., * Develop and quality control NONMEM PK/PD datasets using SDTM and ADaM data sources. * Support pharmacometric modelling activities by delivering accurate, complete, and submission-ready datasets. * Perform quality review of internally and externally produced NONMEM datasets. * Collaborate with Data Management, Statistical Programming, Statistics, Clinical Pharmacology, and Bioanalytical teams to resolve data issues and ensure project timelines are met. * Contribute to the preparation of regulatory submission projects in accordance with internal pharmacometrics guidelines. * Conduct quality control testing of customised R packages used to standardise pharmacometric workflows. * Develop and maintain testing frameworks and validation processes for departmental R tools and packages. * Identify data discrepancies, process improvements, and opportunities for greater automation and efficiency. * Actively contribute to the development and implementation of new pharmacometric standardisation initiatives. * Ensure all deliverables comply with applicable SOPs, working instructions, regulatory requirements, and ICH-GCP guidelines. * Maintain inspection readiness through ongoing training and adherence to quality standards., * Opportunity to work within a globally recognised Clinical Pharmacology & Pharmacometrics function. * Contribute directly to innovative drug development programmes. * Work in a highly collaborative and scientifically driven environment. * Be part of ongoing innovation and standardisation initiatives within pharmacometrics and clinical data science. * Use your expertise to influence best practices and improve the efficiency and quality of pharmacometric deliverables. If you are passionate about leveraging R programming, pharmacometrics, and data quality excellence to support drug development, we'd love to hear from you.