Senior R Shiny Developer
Veramed Limited · Ukraine; United Kingdom · posted 10 days ago
Going rate £54,700UK median £56,914
Home Office going rates
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£51,064 to £72,018estimated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
High
- Licensed for Skilled Worker
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
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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)
Information from public records, not immigration advice.