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. Collaboration The role emphasizes industry-academic collaboration, cutting-edge AI/ML development for immunogen design, and multidisciplinary teamwork in infectious diseases and vaccine research. #J-18808-Ljbffr Merck