Senior R Shiny Developer

Veramed is seeking an experienced R Shiny App Developer to join our growing Functional Service Provider (FSP) team, supporting a leading global pharmaceutical organisation.

This is an exciting opportunity for an individual who enjoys working at the intersection of statistical methodology, software development, and data analytics. You'll play a key role in developing innovative tools and applications that enable statisticians and programmers to work more efficiently, while supporting advanced analytical methodologies within a collaborative, science-driven environment.

Why Join Veramed?

• Join a people-focused CRO with an industry-leading employee retention rate
• Work within a collaborative team that values innovation, quality, and continuous learning
• Contribute to the development of tools that directly support statistical and programming teams
• Gain exposure to advanced analytical methodologies and real-world healthcare data challenges
• Work with modern development practices and technologies, including Azure DevOps, CI/CD pipelines, and version-controlled development
• Be part of a growing international organisation delivering high-quality solutions to leading pharmaceutical clients

The Role:

As an R Shiny App Developer, you will be responsible for designing, developing, and maintaining software tools that bridge statistical methodology and practical application. You'll work closely with statisticians, programmers and cross-functional teams to build reliable, scalable solutions that support data analysis, reporting and decision-making.

Key Responsibilities:

• Develop and maintain R packages used by statistical and TFL programming teams
• Build and enhance R Shiny applications that support analytical workflows
• Contribute to indirect treatment comparison methodologies, including MAIC and Network Meta-Analysis (NMA)
• Work with both synthetic individual patient data (IPD) and aggregated datasets
• Develop tools that support datasets, analyses, tables, figures and listings
• Utilise Azure DevOps for repository management, pipeline automation and agile delivery
• Collaborate with statisticians and technical stakeholders to translate analytical requirements into user-focused software solutions

Apply software engineering best practices, including:

• Unit testing
• Code reviews
• Git version control
• Continuous Integration / Continuous Deployment (CI/CD)

We'd love to hear from candidates with experience in:

• R programming and package development
• R Shiny application development
• Statistical programming within a regulated or scientific environment
• Software engineering principles and best practices
• Git version control and collaborative development
• CI/CD pipelines and automated testing
• Azure DevOps or similar development platforms