Pharmacometrics Support Programmer

In this role you will support pharmacometrics by creating and QC’ing NONMEM PK/PD datasets, enabling robust modelling across a global clinical portfolio. You will work with Data Management, Statistical Programming, and Bioanalytical teams to ensure timely, high-quality data that meet regulatory standards. The position emphasizes data standardisation, automation, and contributing to submission-ready datasets within a collaborative, cross-functional environment. You will help advance standardisation initiatives and maintain inspection readiness, shaping pharmacometrics workflows at ICON.

• Competitive base salary
• Performance-related incentives
• Health and wellbeing programmes (medical, dental, vision)
• Retirement and pension plans
• Life assurance and disability coverage
• Employee assistance programmes and wellbeing resources

• Develop and quality control NONMEM PK/PD datasets using SDTM and ADaM data sources
• Deliver accurate, submission-ready datasets to support pharmacometric modelling
• Perform QC of internally and externally produced NONMEM datasets
• Collaborate with Data Management, Statistical Programming, Statistics, Clinical Pharmacology, and Bioanalytical teams to resolve data issues and meet timelines
• Assist in preparation of regulatory submission projects per internal pharmacometrics guidelines
• Quality check customised R packages used to standardise pharmacometric workflows
• Develop and maintain testing frameworks and validation processes for departmental R tools
• Identify data discrepancies and opportunities for automation and efficiency
• Contribute to new pharmacometric standardisation initiatives and ensure SOP/ICH-GCP compliance

• Bachelor's degree in Life Science, Health Science, Statistics, Computer Science, IT, or related discipline
• Minimum 6 years' experience in 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, QC, submissions, and standardisation activities
• Strong attention to detail and commitment to data quality
• Excellent written and verbal English communication

• Attention to detail
• Cross-functional collaboration
• Problem solving
• R programming
• NONMEM PK/PD data handling
• SDTM/ADaM/CDISC standards