D. E. Shaw Research is seeking current graduate students to join our computational chemistry team for a summer internship. Relevant areas of experience might include direct application of molecular dynamics 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.
Computational Biophysicist
D. E. Shaw Research is seeking computational chemists and biologists, as well as other computational scientists with a track record of achievement, to join our New York-based team. Relevant areas of experience might include direct application of molecular dynamics or other computational methods to drug discovery, investigation of conformational changes relevant to the function of protein kinases, ion channels, or other biomolecules, structural modeling of protein-protein complexes involved in signal transduction or other cellular processes, or study of fundamental biophysical problems, such as protein and RNA folding. Specific knowledge of any of these areas is less critical, however, than strong research skills, and a history of innovation and accomplishment.
Machine Learning Engineer
Successful hires will expand the group's ongoing efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Ideal candidates will have demonstrated expertise in developing deep learning techniques, as well as strong Python programming skills. Relevant areas of experience might include molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.
ASIC Architects and Hardware Engineers
Successful candidates will have excellent analytical and communication skills and expertise in the architecture, analysis, or implementation of hardware solutions. Particularly relevant experience would include high-speed (multi-GHz) ASIC design, current custom chip technologies, parallel computation, microprocessor architecture, machine learning acceleration, hardware/software co-design, computer arithmetic, high-speed interconnection networks, and digital systems simulation.
Embedded Software Developer
Ideal candidates will have demonstrated experience in low-level programming and excellent communication skills. Relevant areas of expertise might include parallel programming, embedded systems, machine learning acceleration, multicore and GPU programming, compilers, assembly language programming, or architectural simulation, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
A limited number of internships are available for undergraduate and graduate students seeking short-term employment. For more information about our internship program, please visit the Summer Internships page.
Computational Chemist and Physicist
D. E. Shaw Research is seeking computational and theoretical chemical physicists, as well as applied mathematicians and other computational scientists with a strong background in theory and a track record of achievement, to join our New York-based team. 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 statistical 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.
Scientific Software Developer
Candidates should have a demonstrated track record of academic, industrial, and/or open-source accomplishments. Relevant areas of expertise might include computational biology, Python and C/C++ programming, molecular dynamics, machine learning, scientific visualization, computer graphics, full-stack web development, scientific workflow management, high performance data-parallel computing on multicore and GPU architectures, and the development of large-scale data management, cheminformatics, and/or analysis frameworks, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
Engineering Program Manager
Individuals sought to coordinate the efforts of our world-class engineers and scientists in developing and building our special-purpose Anton supercomputers and proprietary software. Ideal candidates will have experience in coordinating complex technical projects and managing relationships with vendors. Successful hires will also have excellent communication skills and demonstrated leadership ability.
D. E. Shaw Research is seeking pre-clinical translational scientists with experience in drug discovery to join our New York–based team. This is a high-visibility, high-impact role that affords the opportunity to help shape our drug discovery programs. Relevant areas of experience include leadership of pre-clinical drug discovery programs, design of in vitro assays as well as in vivo disease models, and formulation of translational plans. Specific knowledge of any of these areas is less critical, however, than strong research and communication skills, and a record of impact in drug discovery.
Software Developer for Drug Discovery
Successful hires will work on developing large-scale scientific workflows to support our drug discovery research efforts. Relevant areas of expertise might include large-scale data analysis, tool integration, workflow engineering/development, high performance data-parallel computing, systems software, machine learning, and Python programming, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
Individuals sought to track and coordinate scientific, engineering, operational, and commercial projects across the group; liaise with various departments within the company and with outside firms; and assist with group-wide planning. Successful hires must have excellent communication skills, demonstrated leadership ability, strong organizational, analytical, and quantitative skills, and meticulous attention to detail.
Successful hires will manage systems infrastructure, networks, and information security for our servers and cluster environments, including massively parallel custom supercomputers, petabytes of storage, high-performance local and wide-area networks, and Linux clusters ranging from hundreds to thousands of CPU cores and GPUs. Ideal candidates will have strong fundamental knowledge of Linux concepts such as file systems, networking, and processes in addition to practical experience administering Linux systems. Relevant areas of expertise include large-installation systems administration experience, operational experience deploying security tools, and strong programming and scripting ability. Candidates should also have excellent communication skills.
Individuals sought to track and coordinate scientific, engineering, operational, and commercial projects across the group; liaise with various departments within the company and with outside firms; and assist with group-wide planning. Successful hires must have excellent communication skills, demonstrated leadership ability, strong organizational, analytical, and quantitative skills, and meticulous attention to detail.
D. E. Shaw Research is seeking Ph.D. level scientists to join our New York based team. Relevant areas of experience might include direct application of molecular dynamics or machine learning to drug discovery, computer-aided drug design, molecular modeling, cheminformatics, fragment-based approaches, medicinal chemistry, biochemical and biophysical assay development, or target analysis and selection. Specific knowledge of any of these areas is less critical, however, than strong research skills, and a history of innovation and accomplishment. Successful candidates will directly further the group's drug discovery aims. This is anticipated to be a three-year position.
A limited number of internships are available for undergraduate and graduate students seeking short-term employment. For more information about our internship program, please visit the Summer Internships page.
D. E. Shaw Research is seeking scientists with experience in computational drug discovery or related areas to join our New York-based team. Areas of experience relevant to our molecular dynamics-based drug discovery efforts include molecular modeling, fragment-based drug design, cheminformatics, and medicinal chemistry. An ability to leverage experimental data to inform computational approaches would be a plus, as would knowledge of structural biology. Specific knowledge of any of these areas is less critical, however, than strong research skills, and a record of impact in drug discovery. Successful candidates will directly contribute to projects within our expanding portfolio of drug discovery programs, which we pursue both independently and in collaboration with leaders in academia and industry.
A limited number of internships are available for undergraduate and graduate students seeking short-term employment. For more information about our internship program, please visit the Summer Internships page.
D. E. Shaw Research is seeking scientists with expertise in force field development to join our New York-based team. Relevant areas of experience might include development of physics-based force fields, modeling of polarization and quantum effects, novel parameterization strategies (for example, machine learning, statistical inference, or multi-objective methods), ligand and small molecule parameterization, and force field validation and verification. Specific knowledge of any particular area is less critical, however, than strong research skills, and a record of innovation and accomplishment. Successful candidates will contribute to the development of more accurate force fields for biomolecular simulation.
D. E. Shaw Research is seeking postdoctoral fellows to join our New York-based team. This is a unique opportunity to develop and work with transformative technology in a dynamic, interdisciplinary environment. Candidates should have expertise in computational chemistry, biology, or physics, or in a relevant area of computer science or applied mathematics. Possible research areas for postdoctoral fellows span the scientific interests of the group, and include drug discovery, applied computational chemistry and biophysics, methodology development, and force field development.
A limited number of internships are available for undergraduate and graduate students seeking short-term employment. For more information about our internship program, please visit the Summer Internships page.
D. E. Shaw Research is seeking early-career scientists and engineers with impressive records of achievement to join the group on a full-time basis. Serious consideration will be given to candidates with strong quantitative abilities, excellent communication skills, and a bachelor's or master's degree in the natural sciences and/or engineering. Successful candidates will work closely with a number of the world's leading biochemists, electrical engineers, and computer scientists, and will have the opportunity to make groundbreaking contributions within the fields of biology, chemistry, and medicine. Scientific Associates are expected to commit to D. E. Shaw Research for a minimum of two years; following their time at D. E. Shaw Research, previous Scientific Associates have gone on to top Ph.D. programs in the country and abroad.
