The Regulatory Data Science Service is part of the Operations, Process and Systems team within Global Regulatory Affairs and Clinical Safety. The Regulatory Data Science Service team employs Machine Learning, AI and advanced analytics and statistics to evaluate large business and regulatory datasets to drive predictive/prescriptive analytics, trend analyses and other strategic insights at all levels of the Global Regulatory Affairs and Clinical Safety organization. The insights and outputs Regulatory Data Science Service generate are used to provide key business operations support for resource allocation, scenario-based planning, and demand forecasting.
Requirements
- Candidate should have strong data collection, analysis and reporting, Project Management
- Candidate should have experience with programming languages such as Python, R, SQL
- Candidate should have experience with DataIku
- Candidate should have experience visualizing datasets with Microsoft Power BI, and familiarity with MS Power Platform applications
- Candidate should have experience with MS Office (specifically: Excel, Access, PowerPoint)
- Candidate should possess strong conceptual and analytical thinking skills
- Candidate should have interest in managing, manipulating, and mining data sets, especially to support trend and forecasting analyses
Responsibilities
- Support complex analyses of large regulatory and business systems datasets
- Support tracking, analysis and reporting of resource effort in GTT time tracking tool
- Assist in the planning and forecasting of demand, resources and trend analyses
- Support the collection, analysis, and reporting/visualization of key performance indicators (KPIs)
Other
- Candidate must be pursuing B.S. degree in Data Science, Computer Science, Mathematics, Statistics, Technology (Information Management, Engineering), Analytics or similar field
- Candidate must have the ability to work in NJ/PA area during Summer 2026.
- Candidate must have strong interpersonal and communications skills.
- Candidate should have demonstrated willingness to network, collaborate, and communicate across cultures, organizational levels and disciplines
- Candidate should be a proactive and creative problem-solver that generates options, and makes effective and timely decisions
