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Statistical Programmer II; PK

Job in Reading, Berkshire, RG1, England, UK
Listing for: ICON Strategic Solutions
Full Time position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 - 85000 GBP Yearly GBP 65000.00 85000.00 YEAR
Job Description & How to Apply Below

Pharmacometrics Support (base)

At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise.

As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.

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.

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.

Key Responsibilities
  • 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.
What We're Looking For
  • 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.
Why Join Us?
  • 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…
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