(Apply Now) Developer
1 week ago
Job Description Summary
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 Description
Key Responsibilities
- Develop and maintain R packages to support clinical trial data workflows and reporting
- Build and deploy Shiny applications for interactive dashboards and data exploration
- Deliver demos, training, and support to enable tool adoption across Analytics teams
- Collaborate with users to identify opportunities for workflow improvement and modernization
- Promote best practices in data science and software development across the organization
- Document tools and processes to ensure inclusive and scalable modernization
- Engage with open-source communities to share insights and contribute to innovation
Essential Requirements
- Master’s degree in a quantitative or computational science discipline
- Minimum 2 years of experience developing in R
- Strong proficiency in data manipulation using tidyverse
- Skilled in data visualization with ggplot2 and plotly
- Proven ability to develop R packages with documentation and testing
- Experience building and deploying Shiny applications
- Familiarity with production deployment of R applications
- Knowledge of software development practices including Git and code review
Desirable Requirements
- Solid understanding of the drug development lifecycle and clinical trial processes
- Familiarity with regulatory standards for computer systems and analytical tools in pharma
Benefits and rewards
Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Commitment 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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