Principal Scientist - Computational Chemistry
Our client, a leading force in scientific innovation, is seeking a Principal Scientist specializing in Computational Chemistry to join their esteemed research division in
San Jose, California, US
. This hybrid role demands a visionary leader with deep expertise in applying computational methods to solve complex challenges in materials science and drug discovery. You will lead critical research projects, mentor junior scientists, and contribute to the advancement of our scientific capabilities. Responsibilities: Lead and execute cutting-edge research projects utilizing computational chemistry techniques, including molecular modeling, simulations, and quantum chemistry calculations. Develop and implement novel computational methodologies to address challenging scientific problems in areas such as reaction mechanisms, molecular interactions, and material properties. Collaborate closely with experimental chemists, biologists, and material scientists to integrate computational insights with empirical data. Interpret complex simulation results and translate them into actionable scientific conclusions and recommendations. Supervise and mentor junior computational chemists and post-doctoral researchers. Stay abreast of the latest advancements in computational chemistry software, hardware, and theoretical methods. Publish research findings in high-impact peer-reviewed journals and present at international conferences. Contribute to the strategic planning and direction of computational chemistry research initiatives. Ensure the efficient and effective use of computational resources. Contribute to patent applications and intellectual property development. Qualifications: Ph.D. in Chemistry, Physics, Computational Science, or a related field with a strong focus on computational chemistry. 10+ years of post-doctoral and industry research experience in computational chemistry. Demonstrated expertise in molecular dynamics, DFT, ab initio methods, QM/MM, and other relevant simulation techniques. Proficiency with major computational chemistry software packages (e.g., Gaussian, Schrodinger Suite, AMBER, GROMACS, LAMMPS). Strong programming skills (e.g., Python, Fortran, C++) and experience with scripting for workflow automation. Experience in data analysis, visualization, and potentially machine learning applications in chemistry. Proven track record of leading research projects and successfully delivering scientific outcomes. Excellent written and verbal communication skills, with the ability to clearly present complex scientific concepts. Strong leadership and mentoring capabilities. Experience in drug discovery or materials science is highly desirable. This hybrid position offers the opportunity to work both remotely and collaboratively in our state-of-the-art facilities in San Jose. Join our innovative team and make a significant contribution to scientific discovery. Apply tot his job Apply To this Job