Principal Scientist, Translational Informatics and Predictive Sciences

The Principal Scientist, Translational Informatics and Predictive Sciences applies cutting-edge bioinformatics, statistical, and computational biology approaches to analyze large-scale clinical and real-world datasets within the solid tumor oncology portfolio. This role focuses on discovering biomarkers, elucidating disease biology, and informing development strategies to drive transformative insights for patient benefit. The position involves leveraging AI and machine learning methods to extract patterns from multi-omics data and translate complex analyses into actionable recommendations for cross-functional strategy.