Senior Scientist, Computational Materials Solutions

M.S. or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or related scientific discipline. Strong foundation in computational materials science, computational chemistry, molecular modeling, statistics, scientific computing, and simulation Experience supporting research, experimentation, or early-stage technology development. Ability to connect computational results to physical or chemical mechanisms and translate those results into practical R&D decisions. Working knowledge of model verification, validation, uncertainty quantification, documentation, simulation data management, model reuse, and lifecycle governance. Hands-on experience developing computational, simulation, or data-driven solutions using Python and scientific libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, or related tools. Strong collaboration, stakeholder-management, and communication skills with the ability to present complex technical work clearly to scientific, engineering, and business audiences.