Postdoctoral Fellow – AI/ML & Computational Biology for Antigen Design

This role involves pioneering and applying state-of-the-art artificial intelligence, machine learning, and computational protein design techniques to solve challenges in structure-based antigen design for vaccine discovery. The position requires developing predictive AI/ML workflows to model and optimize conformationally constrained viral antigens through a tight computational-experimental feedback loop. The successful candidate will collaborate with interdisciplinary teams to translate computational breakthroughs into translatable vaccine designs.