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About the role
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 effective, 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 youll 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 under .
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