Strategic Growth Associate
D. E. Shaw Research is seeking individuals with an extraordinary record of academic and/or professional achievement to formulate and execute strategies to identify and recruit world-class scientists and engineers. Candidates should be critical thinkers with exceptional communication and analytical skills. We are particularly interested in applicants who have graduate-level experience in chemistry, biology, computer science, or engineering, but having a background in one of these areas is not a requirement.
Computational Biophysicist
Candidates should have a demonstrated track record of achievement in computational chemistry, biology, or related areas of applied computational research. 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.
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.
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.
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.
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.
Computational Chemist and Physicist
Candidates should have a demonstrated track record of achievement in computational and theoretical chemical physics, applied mathematics, or other computational sciences with a strong background in theory. 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.
Ideal candidates will have a demonstrated track record of achievement in pre-clinical translational science. 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.
Ideal candidates will have a demonstrated track record of achievement in computational drug discovery or related areas. 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.
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.
Ideal candidates will have considerable experience in structure-based drug discovery projects for multiple target classes. Relevant areas of knowledge include modern synthetic methods and analytical techniques, biochemical/biological assays, basic pharmacology and pharmaceutics, and intellectual property; experience with computational chemistry methods is not required but would be a plus. Specific knowledge of any of these areas is less critical than strong research and communication skills, and a record of impact in drug discovery, such as having advanced multiple compounds to clinical trials.
Candidates should have a Ph.D. and a demonstrated track record of academic or industrial accomplishments. 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.
Candidates should have a demonstrated track record of achievement in force field development or related areas. 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.
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.
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.
