Job Title Successful candidates will contribute to the development of more accurate force fields for biomolecular simulation and drug discovery. Relevant areas of experience might include development of physics-based force fields, application of machine learning approaches to force-field development, development of novel parameterization strategies, ligand and small-molecule parameterization, and force-field validation and verification. Candidates should have a Ph.D. in chemistry, chemical physics, computational chemistry, biophysics, or a related field. An ideal candidate would combine a strong understanding of physics and/or machine learning with knowledge of chemistry to facilitate collaboration with our drug discovery team. Specific knowledge of any particular area is less critical, however, than strong research skills, and a record of innovation and accomplishment. The expected annual base salary for this role is $260,000–$400,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors, including the nature and extent of prior experience and educational background. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday and have the option of working from home on Monday and Friday.
