Clinical Data Scientist

ICON plc

. Design, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis .

Posted 10/27/2026full-timeRemote • United Kingdom, France, Spain, Netherlands, Romania, Germany, Poland, South AfricaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in R and R Shiny application development for clinical study monitoring and data visualization, ensuring compliance with CDISC standards and regulatory guidance. Capable of mentoring junior programmers and collaborating with cross-functional teams to optimize statistical workflows.

Highest-signal resume keywords

R Shiny Application DevelopmentCDISC Compliance (SDTM & ADaM)Statistical Programming Experience (5+ Years)Dashboard Visualization (ggplot2/Plotly)Clinical Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

R ProgrammingStatistical AnalysisData VisualizationPerformance OptimizationDebuggingModular Code DevelopmentAutomation StrategiesData EngineeringCloud EnvironmentsReal World Evidence Data

Soft Skills

MentoringCollaborationKnowledge SharingTechnical Insight

Tools & Technologies

Shiny ServerPosit ConnectPythonSASAnalytical Tools

Industry Keywords

Pharmaceutical IndustryBiotech IndustryCRO IndustryPharmacovigilanceSafety Review Workflows

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Design, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis
Develop modular, scalable, and well-documented R code following best practices
Create interactive dashboards, visualizations, and bespoke analytical tools for cross-functional teams
Optimize Shiny app performance, security, and usability for deployment in regulated environments
Ensure all deliverables comply with CDISC standards, regulatory guidance, and internal SOPs
Act as a subject matter expert for R and R Shiny within the team
Mentor junior programmers and contribute to knowledge-sharing initiatives
Participate in study meetings, providing technical insights and programming expertise
Influence best practices, pipelines, and automation strategies for modernizing statistical workflows
Collaborate with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain R-based solutions supporting study monitoring, data review, and analytical insight generation

Requirements

What you’ll need

5+ years of experience as a Statistical Programmer within the pharmaceutical/biotech/CRO industry
Strong clinical data experience, including CDISC (SDTM & ADaM) and TLF production
R Shiny experience, including end-to-end app development, UI/UX design, dashboard visualizations (ggplot2/plotly), performance optimization and debugging
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field
Experience with Python, SAS, or other analytical tools
Familiarity with pharmacovigilance or safety review workflows
Experience with Real World Evidence data
Experience deploying R Shiny apps (Shiny Server, Posit Connect, etc.)
Exposure to automation, data engineering, or cloud environments
Legal right to work in the country where the role is based

Benefits

Comp & perks

Competitive salary and benefits package
Career development and access to modern tools and training
Competitive base salary and performance related incentives
Health and wellbeing programmes including medical, dental, and vision coverage where applicable
Retirement and pension plans
Life assurance and disability coverage
Employee assistance programmes and wellbeing resources
Learning and development opportunities through structured training and career pathways