Job Description Summary#LI-HybridPrimary Location: Dublin, IrelandOther Locations: London, United KingdomRelocation Support: This role is based in Dublin, Ireland. Novartis is unable to offer relocation support: please only apply if accessible.Step into a role where your R development skills will directly empower clinical trial teams to deliver life-changing therapies. As a Data Scientist in Advanced Quantitative Sciences, you'll build open-source tools and interactive dashboards that streamline data workflows, modernize reporting, and elevate user experience across Analytics. Your contributions will shape how Novartis leverages data science to drive innovation and improve patient outcomes. Job DescriptionKey ResponsibilitiesDevelop and maintain R packages to support clinical trial data workflows and reportingBuild and deploy Shiny applications for interactive dashboards and data explorationDeliver demos, training, and support to enable tool adoption across Analytics teamsCollaborate with users to identify opportunities for workflow improvement and modernizationPromote best practices in data science and software development across the organizationDocument tools and processes to ensure inclusive and scalable modernizationEngage with open-source communities to share insights and contribute to innovationEssential RequirementsMaster's degree in a quantitative or computational science disciplineMinimum 2 years of experience developing in RStrong proficiency in data manipulation using tidyverseSkilled in data visualization with ggplot2 and plotlyProven ability to develop R packages with documentation and testingExperience building and deploying Shiny applicationsFamiliarity with production deployment of R applicationsKnowledge of software development practices including Git and code reviewDesirable RequirementsSolid understanding of the drug development lifecycle and clinical trial processesFamiliarity with regulatory standards for computer systems and analytical tools in pharmaBenefits and rewardsRead our handbook to learn about all the ways we'll help you thrive personally and professionally:Commitment to Diversity & InclusionWe are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Skills DesiredApache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling