Computational Chemistry/Physics Methods Developer

Job Details: Computational Chemistry/Physics Methods Developer - pharma/biotech, academic labs, startups conducting drug discovery/protein researchType: Permanent Full-Time RoleLocation: NY - Hybrid (3 days/week onsite)--Computational Chemistry/Physics Methods DeveloperPermanent roleLocation: New York CityOur 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.Relevant experience: Demonstrated experience in computational and theoretical chemical physics, applied mathematics, or other computational sciences with a strong background in theoryDevelopment of methods for molecular dynamics simulations, such as integrators or efficient approximations of long-range forces, methods for enhanced sampling or free-energy calculations, or machine learning approaches for analyzing large data setsExperience working with free energy perturbation is important, while machine learning experience is a plusPh.D. degree and at least a few years of industry and/or academic experienceRelevant industries/areas: pharma/biotech, academic labs, startups conducting drug discovery/protein researchOur Client is seeking computational and theoretical chemical physicists, as well as applied mathematicians and other computational scientists with a background in theory and a track record of achievement, to join Their New York–based team. This is a unique opportunity to develop and work with transformative technology in a dynamic, interdisciplinary environment.Relevant areas of experience might include the development of methods for molecular dynamics simulations, such as integrators or efficient approximations of long-range forces, methods for enhanced sampling or free-energy calculations, or machine learning approaches for analyzing large data sets. Specific knowledge of any of these areas is less critical, however, than strong research skills, and a history of innovation and accomplishment.The client develops and uses advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail and to design precisely targeted, highly selective drugs for the treatment of various diseases. Among their core technologies is a proprietary special-purpose supercomputer which was designed and constructed to perform molecular dynamics simulations more than 100 times faster than the world's fastest general-purpose supercomputers. The Client develops and refines advanced biomolecular modeling methods, software, and machine learning techniques on their Supercomputer, as well as on general-purpose supercomputers, to pursue both internal and collaborative drug discovery programs.The Client is looking to add innovative contributors who share their commitment to fostering a stimulating, positive, and collaborative work environment. We strive to support the personal and professional needs of our team members by offering opportunities for community engagement and a variety of learning and development programs.