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.
Responsabilidades 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
Requisitos principales 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
Strong communication skills to translate technical strategy for technical and non-t

📌 Senior R Programmer/ Shiny Developer (Badajoz)
🏢 Premier Research
📍 Badajoz