Experteer Overview
In this role you will design, build, and optimize interactive R Shiny applications that support clinical trial activities, enabling scalable data analysis and efficient regulatory reporting. You work within the Biostatistics team to deliver user-friendly tools for data exploration, quality control, and statistical review, while promoting reusable components and high-performance performance. You will help ensure compliance with GxP and CSA standards and contribute to open-source R/shiny initiatives.

Compensaciones / Ventajas
• Design, develop, test, and maintain interactive R Shiny apps for clinical trial data analysis
• Create user-friendly tools for statistical review, data exploration, QC, and reporting
• Develop reusable Shiny modules and frameworks for consistency and efficiency
• Optimize performance, scalability, and usability of applications
• Build utilities using R, SAS, and Python
• Support SDTM/ADaM review, dataset comparison, metadata review, TLF review and QC, data visualization, and statistical reporting
• Ensure applications comply with GxP, CSA,



and company standards
• Plan and execute unit, integration, and regression testing
• Provide technical consultation on R programming and Shiny development
• Develop programs supporting project deliverables (ADaM, TLFs) and assist study teams with programming activities

Responsabilidades
• 5+ years of programming experience in pharmaceutical/biotech/CRO environments
• 3+ years hands-on experience with R, R packages, RStudio, and RShiny in clinical data analysis
• Experience integrating Shiny apps with cloud data sources (AWS S3, Azure Data Lake)
• Ability to scale Shiny apps to hundreds of users and perform multi-level optimization
• Experience validating Shiny apps to meet FDA/EMA/GxP guidelines
• Proven track record building tools/pipelines that improve efficiency and standardization
• Active participation in open-source community related to R and Shiny

Requisitos principales
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📌 Senior R Programmer/ Shiny Developer (España)
🏢 Premier Research
📍 España