|CCL 22.11.02 Postdoctoral Fellowships in Computational Chemistry, Biology, and Physics|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Wed Nov 2 01:56:47 2022
Subject: 22.11.02 Postdoctoral Fellowships in Computational Chemistry, Biology, and Physics
D. E. Shaw Research is seeking postdoctoral fellows to join our New Yorkbased team. This is a unique opportunity to develop and work with transformative technology in a dynamic, interdisciplinary environment. Candidates should have expertise in computational, theoretical, or quantum chemistry, computational biophysics, structural biology, drug discovery, theoretical chemical physics, applied mathematics, or in a relevant area of computer science. Relevant areas of experience might include direct application of molecular dynamics, machine learning, or other computational methods to drug discovery, investigation of allosteric interactions or other functionally important conformational changes in biological molecules, structure prediction or design for proteins or RNA, study of protein-protein or protein-nucleic acid interactions, force field improvement through detailed comparisons of simulation data with NMR measurements or other experimental data, development and implementation of new methodology, such as integrators or efficient approximations of long-range forces, methods for enhanced sampling or free-energy calculations, or tools to efficiently analyze large simulation datasets. Specific knowledge of any of these areas is less critical, however, than strong research skills, and a history of innovation and accomplishment. We are committed to fostering a stimulating, rewarding, and flexible work environment, and we offer above-market compensation. We also provide generous relocation and immigration assistance to new hires. In addition, we strive to support the personal and professional needs of our team members by offering generous benefits, opportunities for community engagement, and a variety of learning and development programs. To submit an application, please use the link provided below: https://deshawresearch.avature.net/careers/Register?pipelineId=580&source=CCL.net D. E. Shaw Research (DESRES) is a New York-based drug discovery and computational biochemistry research company developing and using 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 our core technologies is a proprietary special-purpose supercomputer called ANTON which we designed and constructed to perform molecular dynamics simulations more than 100 times faster than the world's fastest general-purpose supercomputers. DESRES develops and refines advanced biomolecular modeling methods, software, and machine learning techniques on ANTON, as well as on general-purpose supercomputers, in order to pursue both internal and collaborative drug discovery programs. D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate. The expected annual base salary for this position is $220,000 - $240,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits. 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.
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