Data Science Lead

Join UCB as Analytics Lead to guide advanced analytics initiatives that inform asset viability and reduce reliance on primary data. You will oversee end-to-end analytics programs, scale models, and serve as the subject matter expert for Advanced Analytics/AI across Patient Solutions and Patient Evidence. The role partners with cross-functional teams worldwide to shape data-driven decision making and deliver high-impact insights. This is a hybrid, global position with a strong focus on collaboration, execution, and demonstrable business impact for patients.

• Provide expert guidance on opportunities to apply advanced analytics for high-impact outcomes
• Lead and deliver analytics projects addressing key business questions and opportunities for patients
• Partner with cross-functional stakeholders (IT, Data Office, Finance, Commercial, Medical Affairs) to plan data and analytics initiatives
• Mentor and develop junior data scientists and translators in analytics applications and implementation
• Drive regional and local data-driven insights plans and cross-functional delivery of insights
• Supervise analytics studies ensuring methodological rigor and reliable results
• Strengthen partnerships with internal stakeholders and external data sources to increase organizational knowledge of the business
• Promote a data-driven, decision-making culture across hubs and engines

• Bachelor's degree in a quantitative field; 8–10+ years in predictive modeling (ML, decision trees, ensembles, neural networks) and data transformation
• 8–10+ years leading programs/projects from initiation to implementation
• 8+ years working with real-world data (Claims data, EMR, IQVIA, -omics)
• 8–10+ years programming/development experience in Python or R

• structured problem solving
• clear communication
• stakeholder collaboration
• predictive modeling (ML, ensembles, neural networks)
• data cleansing and integration
• fuzzy matching