We are seeking an innovative Principal Scientist to bridge the gap between computational design and experimental validation in our antibody discovery engine. In this role, you will serve as the primary scientific liaison between our wet-lab antibody team and our machine learning team, driving the evolution of our "Design-Build-Test-Learn" cycle. Acting as both a project leader and technical expert, you will translate complex in silico designs into actionable experimental workflows. You will be responsible for ensuring that computational predictions are rigorously validated and that the resulting biological data is structured to actively retrain and refine our internal models. We are looking for a deep expert in therapeutic antibody development who is eager to move beyond traditional random screening and champion a rational, data-driven approach to biologic drug discovery.