Individuals interested in pursuing career opportunities with D. E. Shaw Research are encouraged to either apply online (using the “Apply Now” links below) or send a CV or résumé to Želimir Galjanić. We’re open to considering highly qualified applicants even if none of the positions for which we’re currently recruiting seems like an immediate match.
Successful candidates will advise on and help shape the group’s ongoing efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Responsibilities will include:
Candidates should have meticulous attention to detail, as well as exceptional writing, communication, analytical, and project management skills. Expertise in the rapidly evolving legal landscape impacting artificial intelligence and machine learning is required, and in-house experience at a technology company is strongly preferred.
The expected annual base salary for this position is $350,000–$600,000. 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.
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.
The expected annual base salary for this position is $300,000–$475,000. 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.
Successful hires will support our machine learning team by processing and organizing scientific datasets relevant to drug discovery and development. Candidates should have an undergraduate degree in a STEM field, hands-on experience in a Linux environment, and familiarity with Python and SQL. Experience handling large-scale datasets, structuring data from diverse sources, and cataloging metadata to facilitate data discovery and maintain accurate data provenance is highly desirable. This is a two-year position with full benefits.
The expected annual base salary for this role is $160,000–$200,000. Our compensation package includes variable compensation in the form of sign-on and year-end bonuses, as well as generous benefits, including relocation and immigration assistance. The final salary will be determined based on multiple factors, including prior experience and educational background. We follow a hybrid work schedule, with employees working in-office from Tuesday through Thursday and having the option to work remotely on Monday and Friday.
Successful hires will work closely with our machine learning team to curate, process, and analyze scientific datasets (primarily chemical and biological), while shaping the company’s data strategy in a dynamic, interdisciplinary environment. Candidates should have a Ph.D. or Master’s degree in medicinal chemistry, pharmacology, or a related field, along with hands-on experience in a laboratory setting and familiarity with assays and techniques relevant to drug discovery. Strong proficiency in Linux environments and Python is highly desirable. This is a two-year position with full benefits.
The expected annual base salary for this position is $200,000–$240,000. 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.
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.
The expected annual base salary for this position is $300,000–$475,000. 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.
Ideal candidates will have strong knowledge of information security fundamentals, including threat detection and response, vulnerability management, penetration tests, common attack vectors, and endpoint detection and response. Relevant areas of expertise might include operational experience in DevSecOps, developing information security policies and procedures, deploying security tools, and automating the process of detecting and mitigating potential vulnerabilities, in addition to strong programming and scripting ability. Candidates should have excellent communication skills, and we will consider candidates at all levels of experience.
The expected annual base salary for this position is $230,000–$550,000. 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 three days per week, and have the option of working from home the other two days per week.
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.
The expected annual base salary for this position is $300,000–$600,000. 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.
Successful hires will contribute to the management of machine learning (ML) data and development of related infrastructure. Responsibilities could include, for example, optimizing ML models and data; developing/troubleshooting pipelines for ML model training/deployment; and installing/upgrading ML software/libraries. Ideal candidates will have strong practical knowledge of Linux systems, including experience working with GPU clusters and fluent knowledge of Linux/UNIX tools; experience with ML/AI frameworks such as PyTorch and related libraries; familiarity with large-installation systems administration, high performance data-parallel computing, and data management; and strong Python programming ability. Knowledge of C++ would be preferred but is not required. Candidates should also have excellent communication skills.
The expected annual base salary for this position is $230,000–$550,000. 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.
Successful candidates will work closely with our drug discovery and development team to develop a deep understanding of their project goals, progress, and challenges, and play a pivotal role in crafting and implementing our IP strategy. They will oversee all aspects of intellectual property activities within drug discovery and development and will be encouraged to think deeply and creatively to maximize protection of our assets. Responsibilities will include gathering data and experimental procedures to craft our patent applications, managing our drug discovery and development patent portfolio, working with outside counsel for filing and prosecution, and providing freedom-to-operate and patentability guidance to program teams.
Candidates must have a master’s or PhD in organic or medicinal chemistry, a JD, and be registered to practice before the U.S. Patent and Trademark Office. At least four years of patent prosecution experience, either in a law firm or an in-house biotech/pharma setting, is required. The ideal candidate will have a strong track record in managing patent portfolios throughout the drug discovery and development process, including early-stage medicinal chemistry, formulation development, and dosing regimens. Demonstrated aptitude and experience in conceiving inventions, especially composition of matter, is essential.
The expected annual base salary for this position is $350,000–$600,000. 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.
Successful hires will contribute to software development and workflow engineering for drug discovery, including development of cheminformatics tools and algorithms; large-scale virtual screening and docking; computer-aided molecule design; development of scalable chemical databases; modeling, analysis and visualization of molecular systems; and a range of similar tasks integral to advancing our scientific and drug discovery programs.
The expected annual base salary for this position is $230,000–$550,000. 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.
Successful candidates will be creative and independent problem solvers who have excellent communication skills and are extremely detail-oriented. Ideal candidates will have experience using Python to script and automate scientific workflows, supporting software used for computational drug discovery, and managing chemical data. They should have strong interest and a demonstrated track record in improving computing environments for end-users. Relevant areas of expertise include familiarity with Linux/UNIX tools, and C++, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
The expected annual base salary for this position is $200,000–$300,000. 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.
Successful hires will work closely on designing, developing, and supporting software tools, systems, and infrastructure that is critical to our drug discovery and machine learning efforts. Ideal candidates will have strong Python and C++ programming skills, fluency with Linux/UNIX tools, and extensive experience with cheminformatics software packages (for example, virtual screening and docking, computer-aided small molecule design, molecular modeling, and engineering of large-scale chemical databases). Other relevant areas of expertise include workflow engineering and development, software development for cluster architectures, high performance data-parallel computing, and systems software, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
The expected annual base salary for this position is $230,000–$550,000. 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.
Successful hires will develop systems and infrastructure for modeling, curating, and indexing petabytes of data (including data generated by our special-purpose supercomputers and Linux clusters); implement pipelines for processing computational and experimental data sets; and develop/optimize workflows to deliver large data sets to machine learning training pipelines. Relevant areas of expertise include engineering of large-scale chemical databases, architecting workflows, and automating processes for the handling of life science data, fluency with Linux/UNIX tools, and familiarity writing scientific software, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
The expected annual base salary for this position is $230,000–$550,000. 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.
Successful hires will manage systems infrastructure, networks, and information security for our servers and cluster environments, including massively parallel custom supercomputers and Linux clusters ranging from hundreds to thousands of CPU cores and GPUs. Additional responsibilities may include the development and management of large-scale scientific workflows to support our drug discovery research efforts, as well as the management of machine learning data. Ideal candidates will have strong fundamental knowledge of Linux concepts, and relevant areas of expertise might include large-installation systems administration, programming and scripting of distributed systems in Python, high performance data-parallel computing, systems software, and deployment of security tools. Candidates should also have excellent communication skills.
The expected annual base salary for this position is $230,000–$550,000. 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 three days per week, and have the option of working from home the other two days per week.
Ideal candidates will have a computer science or engineering degree, prior experience with non-trivial parallel or distributed systems software projects, deep knowledge of operating systems internals, strong debug skills, strong C/C++/Python programming ability, and excellent verbal and written skills. Familiarity with device drivers, Linux or BSD kernels, distributed filesystems, run-time systems, communication protocols, event-driven and thread-based concurrency, bootstrap code, x86 hardware and BIOS, and/or bringup of new hardware is a plus, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
The expected annual base salary for this position is $230,000–$550,000. 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.