UK Remote Job – Clinical Data Scientist at ICON Plc

EasyInfoBlog.com LLC; United Kingdom; Remote; GBP 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Competitive package

Performance incentives

Training opportunities

Modern tools

Zusammenfassung

ICON plc is seeking a Senior Statistical Programmer with strong R Shiny experience to design and maintain interactive dashboards for clinical studies in the United Kingdom. You will deliver scalable, well-documented R code and collaborate with statisticians, data managers, and project leads to drive efficient, compliant data analysis.

Applicants should have 5+ years in statistical programming, experience with CDISC standards, and proficiency in Python or SAS.

Qualifikationen

• Five+ years of statistical programming in pharma, biotech or CRO.
• CDISC SDTM/ADaM experience with Tables, Listings and Figures (TLFs).
• Practical R Shiny development experience; dashboards, UI/UX, debugging and performance optimization.
• Bachelor’s or Master’s in Statistics, Mathematics, Computer Science or related field.
• Experience with Python, SAS or other analytical tools.

Aufgaben

• Design, build and maintain R Shiny apps for study monitoring and data visualization.
• Develop modular, scalable and well-documented R code.
• Create interactive dashboards for cross-functional teams.
• Optimize app performance, security and usability in regulated environments.
• Ensure compliance with CDISC standards and SOPs.
• Provide R and Shiny technical expertise.
• Mentor junior programmers and share knowledge.
• Participate in study meetings and advise on programming solutions.
• Improve statistical workflows through automation and modern practices.
• Collaborate with statisticians, data managers, and project leads.

Kenntnisse

R Shiny development

Dashboard design

Code debugging

Performance optimization

Ausbildung

Bachelor's or Master's in Statistics/Math/CS

Tools

R Shiny

Shiny Server

Posit Connect

Python

SAS

Jobbeschreibung

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.

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.