Clinical Data Scientist at ICON Plc

Job title:

Senior Statistical Programmer – R Shiny.

Salary:
Competitive; exact amount not specified.

Employment type:

Remote

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

Employer:

ICON plc.

Location:

United Kingdom

Work arrangement:
Not specified in the supplied listing.

• 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.

• 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.

• 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.