Senior R Shiny Developer for Clinical Data Apps

41 Premier Research Group Limited; United Kingdom; On-site; GBP 70,000 - 95,000; Full time

Job summary

Premier Research is seeking a Senior R Programmer/Shiny Developer to join our Biostatistics team. You will design and maintain interactive R Shiny applications for clinical trials, ensuring scalability and regulatory alignment.

You will build reusable modules, optimize performance, and integrate with cloud data sources (AWS S3, Azure Data Lake).

This role offers collaboration with biotech, medtech, and pharma projects, with opportunities to influence data visualization, QC, and reporting.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field (Master's preferred).
• 5+ years of programming experience in the pharmaceutical, biotechnology or CRO industry
• 3+ years of hands-on experience with R, R packages, RStudio, and RShiny, particularly in the context of clinical data analysis.
• Experience in integrating RShiny applications with various data sources, particularly cloud-based data storage solutions like AWS S3, Azure Data Lake, or similar platforms.
• Ability to scale Shiny applications to hundreds of users, with experience in performance optimization at various levels (frontend, backend, infrastructure).
• Experience in validating RShiny applications to meet regulatory standards such as FDA, EMA, and GxP guidelines.
• Demonstrated experience building tools, macros, or pipelines that improved efficiency or standardization for a programming function.
• Active participation in the open-source community, particularly in developing and maintaining R packages and Shiny applications.
• Expertise in optimizing the performance of Shiny applications, including frontend, backend, and infrastructure levels, to ensure they can handle large datasets and multiple users efficiently.
• Ability to analyze user behavior and interactions with Shiny applications to improve usability and functionality.
• Strong communication skills, with the ability to translate technical strategy for both technical and non-technical stakeholders.

Responsibilities

• Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities, ensuring they are scalable and performant for large-scale clinical data analysis.
• Creates user-friendly applications for statistical review, data exploration, quality control, and reporting.
• Develops reusable Shiny modules and application frameworks to promote consistency and efficiency.
• Optimizes application performance, scalability, and usability.
• Develops reusable programming utilities using R, SAS, and Python.
• Builds applications that support: SDTM and ADaM review; Dataset comparison; Metadata review; TLF review and quality control; Clinical data visualization, Statistical reporting.
• Develop applications in accordance with GxP, Computer Software Assurance (CSA), and company standards.
• Develops and executes application testing, including unit, integration, and regression testing.
• Provides technical consultation on R programming, R Shiny development, and open-source technologies.
• Develop programs to support project deliverables (i.e. ADaM, TLFs, etc) Supports study teams with programming activities on projects.

Skills

R programming

Shiny development

Statistical data analysis

Regulatory compliance (FDA/EMA/GxP)

Open-source contribution

Education

Bachelor's degree in Statistics, Computer Science, Mathematics, or Data Science

Master's degree (preferred)

Tools

RStudio

SAS

Python

AWS S3

Azure Data Lake

Job description

Premier Research is seeking a Senior R Programmer/Shiny Developer to join our Biostatistics team. You will design and maintain interactive R Shiny applications for clinical trials, ensuring scalability and regulatory alignment.

You will build reusable modules, optimize performance, and integrate with cloud data sources (AWS S3, Azure Data Lake).

This role offers collaboration with biotech, medtech, and pharma projects, with opportunities to influence data visualization, QC, and reporting.