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Statistical Programmer II (PK)

ICON
Paris, Frankfurt, Dublin, Warsaw, Johannesburg, Reading
Remote

About this role

About the role

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 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.

Location

Paris, Frankfurt, Dublin, Warsaw, Johannesburg, Reading

Reference: JR160092

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ICON Strategic Solutions (FSP)

Categories

Clinical Programming

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Remote or Office

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