Job Description Summary
Job Title: Snr. Developer (R) Advanced Quantitative Sciences Tech & Scientific Computing
#LI-Hybrid
Primary Location: Dublin Ireland
Other Locations: London United Kingdom
Relocation Support: This role is based in Dublin Ireland. Novartis is unable to offer relocation support: please only apply if accessible.
Join us in shaping the future of clinical analytics through open-source innovation and impactful data science. As a Snr. Developer in Advanced Quantitative Sciences youll build tools that empower clinical trial teamsstreamlining workflows enhancing reporting and modernizing user experiences. Collaborating across interdisciplinary teams youll drive innovation champion best practices and help transform how we analyze and communicate clinical insights.
Job Description
Key Responsibilities
Develop and maintain R packages to support data engineering analysis automation and reporting workflows
Design and deploy Shiny applications for interactive dashboards and data exploration
Collaborate with analytics teams to translate requirements into reproducible tools and code
Lead demos pilots and training sessions to drive tool adoption across teams
Engage with users to identify opportunities for modernization and continuous improvement
Promote best practices in data science and software development across the organization
Document tools and processes to support inclusive modernization efforts
Participate in open-source communities to foster external collaboration and innovation
Essential Requirements
Masters degree in a quantitative or computational science discipline
Minimum 4 years of experience as an R developer in a professional setting
Expertise in data manipulation using tidyverse and data visualization with ggplot2 and plotly
Proven ability to build production-grade R packages with documentation and testing frameworks
Hands-on experience deploying and maintaining R applications in production environments
Advanced proficiency in Shiny app development and deployment
Strong foundation in software development practices including Git CI/CD and code reviews
Collaborative mindset with a solution-oriented approach and strong written English skills
Desirable Requirements
Understanding of the drug development process and regulatory requirements for digital tools
Experience with Quarto workflow automation or metadata-driven reporting; participation in open-source pharma projects such as R Consortium pharmaverse openpharma or openstatware
Benefits and Rewards
Read our handbook to learn about all the ways well help you thrive personally and professionally:
to Diversity & Inclusion
We are committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Apache 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
Job Description SummaryJob Title: Snr. Developer (R) Advanced Quantitative Sciences Tech & Scientific Computing#LI-HybridPrimary Location: Dublin IrelandOther Locations: London United KingdomRelocation Support: This role is based in Dublin Ireland. Novartis is unable to offer relocation support: ple...
Job Description Summary
Job Title: Snr. Developer (R) Advanced Quantitative Sciences Tech & Scientific Computing
#LI-Hybrid
Primary Location: Dublin Ireland
Other Locations: London United Kingdom
Relocation Support: This role is based in Dublin Ireland. Novartis is unable to offer relocation support: please only apply if accessible.
Join us in shaping the future of clinical analytics through open-source innovation and impactful data science. As a Snr. Developer in Advanced Quantitative Sciences youll build tools that empower clinical trial teamsstreamlining workflows enhancing reporting and modernizing user experiences. Collaborating across interdisciplinary teams youll drive innovation champion best practices and help transform how we analyze and communicate clinical insights.
Job Description
Key Responsibilities
Develop and maintain R packages to support data engineering analysis automation and reporting workflows
Design and deploy Shiny applications for interactive dashboards and data exploration
Collaborate with analytics teams to translate requirements into reproducible tools and code
Lead demos pilots and training sessions to drive tool adoption across teams
Engage with users to identify opportunities for modernization and continuous improvement
Promote best practices in data science and software development across the organization
Document tools and processes to support inclusive modernization efforts
Participate in open-source communities to foster external collaboration and innovation
Essential Requirements
Masters degree in a quantitative or computational science discipline
Minimum 4 years of experience as an R developer in a professional setting
Expertise in data manipulation using tidyverse and data visualization with ggplot2 and plotly
Proven ability to build production-grade R packages with documentation and testing frameworks
Hands-on experience deploying and maintaining R applications in production environments
Advanced proficiency in Shiny app development and deployment
Strong foundation in software development practices including Git CI/CD and code reviews
Collaborative mindset with a solution-oriented approach and strong written English skills
Desirable Requirements
Understanding of the drug development process and regulatory requirements for digital tools
Experience with Quarto workflow automation or metadata-driven reporting; participation in open-source pharma projects such as R Consortium pharmaverse openpharma or openstatware
Benefits and Rewards
Read our handbook to learn about all the ways well help you thrive personally and professionally:
to Diversity & Inclusion
We are committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Apache 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
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