Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Senior R Shiny Developer
ICT
Company shared salary
NA
Market rate
6,000 GBP–9,000 GBP/mo (72,000 GBP–108,000 GBP/yr)
Based on similar roles (title + domain + location).
About the Company
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. 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
About 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.
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
- ● Unit testing
- ● Code reviews
- ● Git version control
- ● Continuous Integration / Continuous Deployment (CI/CD)
- ● 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
⚡ Full Resume Sandbox Canvas