The successful candidate will partner closely with analytical scientists to frame high-value scientific questions, engineer and integrate complex analytical data, and develop fit-for-purpose models, visualizations, and digital solutions that accelerate data-driven decisions across pharmaceutical development. Lead the end-to-end delivery of data products and analytical solutions, including problem framing, data acquisition and integration, exploratory analysis, feature engineering, model development and validation, visualization, deployment, documentation, user adoption, and lifecycle support.