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AI Summary
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
Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability.
As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.
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