Associate Scientist, Post Doc Fellow- AI/ML & Computational Biology for Antigen Design

Role: Postdoctoral Scientist specializing in AI/ML and computational biology for vaccine antigen design, focusing on structure-based conformational stabilization of viral proteins. Responsibilities: develop and benchmark AI/ML workflows (protein language and folding models), integrate physics-based simulations with deep learning, collaborate with experimental teams for iterative model refinement, author scientific publications, and present research at conferences. Requirements: PhD in Computational Biology, Bioinformatics, Computer Science, Biophysics, or related field (or completion by Spring 2027); proven experience with machine learning models applied to biomolecular data (e.g., ESM, AlphaFold, ProteinMPNN); proficiency in Python, ML frameworks (PyTorch, JAX), and high-performance computing; publication record. Preferred: experience with structural modeling tools (ColabFold, Rosetta), molecular dynamics (GROMACS, AMBER), biophysical characterization methods, and conformationally dynamic protein complexes. High-Value: focus on viral antigen design, structure stabilization, vaccine discovery, and integration of computational-experimental workflows. Location: onsite West Point, PA with approximately 10% travel. The role emphasizes industry-academic collaboration, cutting-edge AI/ML development for immunogen design, and multidisciplinary teamwork in infectious diseases and vaccine research.