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.
Individual sought to support the Executive Committee at the firm. Responsibilities may include tracking and coordinating scientific, technical, and commercial projects across the group; handling various communications and operational functions autonomously or in collaboration with others; and assisting with group-wide planning. In addition to being strong project managers, candidates should be critical thinkers with superior communication, organizational, and analytical/quantitative skills. They should possess meticulous attention to detail, a high degree of discretion, and exceptional ability to find creative solutions to complex problems. A background in STEM is preferred, but specific knowledge of any particular area is less critical than exceptional intellectual ability and a demonstrated track record of achievement. At least five years of work experience in a professional environment is strongly preferred. This is a dynamic, high-visibility position within the group, offering extensive opportunities for learning and growth.
The expected annual base salary for this position is $250,000–$450,000. 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.
We are seeking a highly analytical, proactive, and resourceful professional to join our financial operations team. This individual will play a key role in supporting the firm’s financial processes. The ideal candidate will have at least five years of relevant experience in a professional setting and will bring strong familiarity with monthly close procedures and hands-on experience in bookkeeping. Past experience with budgeting, projection, and both domestic and international tax considerations for private companies is strongly preferred, as is a degree in accounting, finance, or business. In addition to strong quantitative skills, this position requires superior writing, organizational, and analytical ability. We’re looking for someone with exceptional communication, a high degree of proficiency in Excel, meticulous attention to detail, and a demonstrated ability to handle financial operations with precision and discretion.
The expected annual base salary for this position is $150,000–$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.
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 work on developing and applying large language models (LLMs) to problems in molecular science and drug discovery. Responsibilities include:
Ideal candidates will have deep expertise in large-scale machine learning systems, LLM architecture and training, and/or multimodal learning, as well as strong Python programming skills. While the application domains include areas such as drug discovery and biomolecular simulation, specific experience in 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–$800,000. 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 expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Areas of focus include generative models to help identify novel molecules for drug discovery targets, predict PK and ADME properties of small molecules, develop more accurate approaches for molecular simulations, and understand disease mechanisms. Ideal candidates will have strong Python programming skills. Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, 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–$800,000. 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.
Individuals sought to recruit leading researchers and engineers for our actively growing AI/machine learning team that works on high-impact projects in drug discovery and biomolecular simulation. Responsibilities will include identifying prospective talent, managing candidacies, and organizing and representing the group at a variety of recruiting events, among other things. Candidates should be critical thinkers with exceptional communication, organizational, leadership, and analytical skills. We are particularly interested in applicants who have undergraduate- or graduate-level experience in STEM disciplines, but having a background in one of these areas is not a requirement, nor is previous experience in recruiting. This is a dynamic, high-visibility position, which offers multiple opportunities to learn about cutting-edge science and technology, as well as to interact with the broader scientific and engineering communities.
The expected annual base salary for this position is $150,000–$225,000. 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.