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# Senior Principal Developer

- **Company:** gb
Novartis
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £57,050.0 - £105,950.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Code Review, Continuous Integration, Information Engineering, Data Visualization, Database Applications, R (Programming Language), Open Source Technology, Software Engineering, Software Organization, Data Processing, Virtual Environment, Git, Build Management, Information Technology, Plotly
- **Published:** August 15, 2026
- **Apply:** https://www.totaljobs.com/job/principal-developer/novartis-job107850950

## About the Role

* MSc in a quantitative / computational science or eqivalent
 * Experience as an R developer
 * Deep knowledge of data manipulation (tidyverse) and data visualization (ggplot2, plotly).
 * Demonstrated ability to develop production-grade R packages, including comprehensive documentation and rigorous testing frameworks.
 * Hands on experience deploying and maintaining R applications in production environments.
 * Highly proficient in Shiny app development and deployment.
 * Deep experience in software development best practices (virtual environments, git, CI/CD, code review etc.)
 * Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applications
 * Solution-oriented mindset with a collaborative spirit
 * Good written English

Desirable requirements:

 * Good understanding of drug development process
 * High level understanding of the regulatory requirements for computer systems and tools
 * Knowledge of Quarto, workflow automation, or metadata-driven reporting.
 * Participation in open-source projects within the pharmaceutical sector, such as those associated with R Consortium, pharmaverse, openpharma or openstatware.

## Description

* Develop and maintain R packages that enable clinical trial team through supporting data engineering, statistical analyses, automation, and reporting workflows.
 * Design, build and deploy Shiny applications for interactive dashboards and data exploration tools.
 * Collaborate with statistical programmers and statisticians, and clinical reporting teams to understand requirements and translate them into efficient, reproducible code and tools.
 * Apply AI responsibly to support product design and development focusing on reliable, explainable, and impactful use in development workflows and solutions.
 * Drive the rollout of tooling through demos, pilots, training and support.
 * Engagement in the user experience of our users to identify and drive opportunities for continuous improvement and modernization.
 * Role model best practices for data science and software development.
 * Documentation of tools and processes to support modernization in an inclusive manner.
 * Appetite to engage in open-source communities to collaborate in external settings.


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