Software developers at all levels of experience (including entry-level) are sought to join our computer science team in New York City. These hires will develop, deploy, and support software tools and systems for scientific modeling, simulation, or analysis, as well as help with infrastructure for distributed/parallel training, and use of LLMs and other ML models, all of which drive our drug discovery, efforts. The role involves close collaboration with our world-class team of chemists, biologists, machine learning engineers and researchers, and computer scientists.
Responsibilities could include, for example, installing, upgrading and troubleshooting software; developing algorithms; scripting and developing cheminformatics and data analysis workflows; developing tools for managing large-scale datasets; setting up scientific data pipelines; developing and troubleshooting pipelines for LLM model training and deployment; writing, maintaining, and improving documentation; and building integrations with third-party software services.
Ideal candidates will have experience using Python to script and automate scientific workflows, supporting software used for computational drug discovery, and managing chemical and ML data. They should have strong interest and a demonstrated track record in improving computing environments for end-users, or in artificial intelligence (specifically, generative and agentic AI). Relevant areas of expertise include familiarity with data management, GPU clusters, Linux/UNIX tools, experience with ML/AI frameworks such as PyTorch, MLflow, vLLM, SGLang, and related libraries, and C++. Relevant domain knowledge in chemistry or physics is a plus, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement.
We are looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment.
To submit an application, please use the link provided below:
https://apply.deshawresearch.com/careers/Register?pipelineId=604&source=Harvard_1
D. E. Shaw Research (DESRES) develops and uses 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 its core technologies is Anton, a proprietary special-purpose supercomputer that DESRES designed and constructed to vastly accelerate the process of molecular dynamics simulation. DESRES uses Anton machines and high-speed commodity hardware, together with machine learning methods and other computational techniques, in both internal and collaborative drug discovery programs. For more information, visit www.DEShawResearch.com.
The expected annual base salary for this position is $250,000–$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.
D. E. Shaw Research, LLC is an equal opportunity employer.
