





AIDD (AI for Drug Discovery), part of Roche Computational Sciences Center of Excellence, is an interdisciplinary team applying machine learning to discover and engineer biologic drugs. Within the LMDD (Large Molecule Drug Design) team, we focus on developing next-generation therapeutics, particularly therapeutic antibodies, using innovative computational methods combined with biological expertise. Key areas include de novo design, structure prediction, affinity maturation, and accurate scoring of macromolecular complexes to enhance drug discovery capabilities. Develop a state-of-the-art multi-modal scoring function designed to bridge the gap between geometric deep learning and physics-based energy approximations. Take responsibility for creating and implementing innovative methods to rank generated antibody-antigen complexes. Collaborate closely with international, cross-functional teams across our key global sites in Basel, New York, and San Francisco. Drive high-level research initiatives with the clear goal of steering results toward a formal scientific publication. Act as a highly motivated intern within a fast-paced environment, merging advanced computational techniques with drug discovery efforts.