Senior Scientist, Computational Materials Solutions

For our client, we are seeking a Senior Scientist, Computational Materials Solutions to join the team of a leader in the Manufacturing & Automotive space. This role will advance computational approaches that help explain material behavior and improve design decisions across research and development efforts. You will work at the intersection of AI/ML, predictive simulation, and experimentation, translating complex modeling output into practical guidance for scientists and engineers. The position also calls for close collaboration with technical and non-technical stakeholders to support early-stage technology development and broader R&D priorities. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $100,500 – $125,500 annually Responsibilities Develop and apply computational and statistical solutions to investigate material behaviors and guide design. Support product and technology development through AI/ML and predictive simulations. Integrate simulation data and experimental results to prioritize experiments and support hypothesis generation. Perform model calibration and sensitivity analysis to validate computational recommendations. Translate computational outputs into actionable insights for scientists and engineers. Build reusable solution libraries and documentation for broader R&D needs. Communicate modeling insights clearly to both technical and non-technical stakeholders. Qualifications M.S. or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or a related scientific discipline. Strong foundation in computational materials science, chemistry, molecular modeling, and statistics. Experience in research, experimentation, or early-stage technology development. Ability to connect computational results to practical R&D decisions. Working knowledge of model verification, validation, and uncertainty quantification. Hands-on experience with Python and scientific libraries such as NumPy, pandas, or TensorFlow. Strong collaboration and communication skills for technical and non-technical audiences. Benefits Generous 401(K) plan with an employer match. Excellent health, dental, and vision insurance packages. Flexible work schedule and 11 paid holidays a year. Paid time off (PTO) policy to recharge. Education assistance to support your learning journey. Values-driven culture promoting People, Accountability, Creativity, and Excellence. Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.