Director, Computational Biology

The Director will act as a key scientific leader in cancer genetics and computational oncology, driving the discovery and prioritization of novel therapeutic targets across Takeda's oncology portfolio. This role requires combining deep expertise in human genetics with advanced computational approaches, including machine learning and multimodal data integration, to generate rigorous biological insights from complex datasets. Collaborating with researchers, data scientists, and AI experts, the position aims to shape the company's oncology pipeline through innovative target identification and validation strategies.