Shiny & R Package Developer

full-time

remote from anywhere in India

Responsibilities

• 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.
  
  

Minimum Requirements

What you'll bring to the role:

• MSc in a quantitative / computational science
• 3+ years of 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
  
  

Preferred But NOT Required

• 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.