Description

• Job title: Senior Statistical Programmer – R Shiny.

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• Employer: ICON plc.

• Location: United Kingdom

• Salary: Competitive; exact amount not specified.

• Employment type: Remote

• Work arrangement: Not specified in the supplied listing.

• Visa sponsorship: Not specified; applicants must have the legal right to work in the country where the role is based.

• Overview: Develop and maintain R Shiny applications and interactive dashboards for clinical trials, safety reviews and clinical data analysis. The role combines statistical programming, software development and collaboration with clinical research teams to improve data review and reporting workflows.

Responsibilities

• Design, build and maintain R Shiny applications for clinical study monitoring and data visualisation.

• Develop modular, scalable and well-documented R code.

• Create interactive dashboards and analytical tools for cross-functional teams.

• Optimise application performance, security and usability in regulated environments.

• Ensure compliance with CDISC standards, regulatory guidance and internal standard operating procedures.

• Provide technical expertise in R and R Shiny.

• Mentor junior programmers and share technical knowledge.

• Participate in study meetings and advise on programming solutions.

• Improve statistical workflows through automation and modern programming practices.

• Collaborate with statisticians, data managers, clinical programmers and project leads.

Requirements

• At least five years of statistical programming experience in the pharmaceutical, biotechnology or contract research organisation (CRO) industry.

• Strong clinical data experience, including CDISC SDTM, ADaM and Tables, Listings and Figures (TLFs).

• Practical R Shiny development experience, including dashboards, UI/UX design, debugging and performance optimisation.

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science or a related discipline.

• Experience with Python, SAS or other analytical tools.

• Familiarity with pharmacovigilance and safety review workflows.

• Experience with Real-World Evidence (RWE) data.

• Knowledge of deployment platforms such as Shiny Server or Posit Connect.

• Exposure to automation, data engineering or cloud environments.

• Legal right to work in the country where the role is based.

Benefits

• Competitive salary and benefits package.

• Performance-related incentives.

• Career development and structured training opportunities.

• Access to modern programming tools and technologies.

• Medical, dental and vision coverage where applicable.

• Retirement and pension plans.

• Life assurance and disability coverage.

• Employee assistance programmes and wellbeing resources.

How to Apply;

Interested and qualified candidates should:
Click here to apply online for this job

Disclaimer

Author: Simon RobertEasyInfoBlog is a multi-author blog. We have experts and professionals in various fields who share their ideas and expert knowledge to help you with your daily information needs. Thanks for reading!