Computational Chemist - Oxford
FPSG are working with a leading research institution dedicated to advancing the field of computational chemistry. Our multidisciplinary team of scientists, engineers, and researchers collaborates on cutting-edge projects to address complex challenges in drug discovery, materials science, and molecular modeling.
Position Overview: We are seeking a talented and motivated Computational Chemist to join our team in Oxford. The successful candidate will play a key role in developing and applying computational methods to study chemical systems, analyze data, and drive scientific discoveries. This position offers a unique opportunity to work on diverse projects at the intersection of chemistry, physics, and computer science.
Key Responsibilities:
- Develop and implement computational models and algorithms for studying molecular structures, interactions, and properties.
- Collaborate with experimental chemists and interdisciplinary teams to design and optimize novel compounds for drug discovery and materials development.
- Utilize molecular dynamics simulations, quantum chemistry methods, and machine learning techniques to predict and interpret chemical phenomena.
- Perform data analysis, visualization, and interpretation to extract meaningful insights from computational results.
- Contribute to the development of software tools and databases for storing and analyzing chemical data.
- Stay abreast of the latest advancements in computational chemistry and apply new methodologies to enhance research projects.
Qualifications:
- Ph.D. in Chemistry, Computational Chemistry, Chemical Engineering, Physics, or related field.
- Strong background in computational chemistry, quantum mechanics, molecular modeling, or a related discipline.
- Proficiency in programming languages such as Python, C/C++, or Fortran, with experience in scientific computing.
- Hands-on experience with molecular simulation software (e.g., Gaussian, CHARMM, GROMACS, VMD) and quantum chemistry packages (e.g., Gaussian, NWChem, ORCA).
- Familiarity with machine learning techniques applied to chemistry (e.g., deep learning, molecular descriptors) is a plus.
- Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a team environment.
- Effective communication skills with the ability to present complex technical concepts to diverse audiences.
