Program/Product Manager - Machine Learning for Drug Discovery

Individuals with impressive records of professional achievements sought to join our New York-based team as Program/Product Managers to help shape the group’s ongoing efforts applying machine learning (ML) to drug discovery, biomolecular simulation, and biophysics.

Program/Product Managers at D. E. Shaw Research collaborate with our teams of ML researchers and engineers to coordinate the day-to-day execution of ML projects, in addition to managing relationships with vendors and other third parties. Some areas of focus for current projects include developing 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 advance 3D structure prediction, in addition to developing and applying large language models (LLMs) to problems in molecular science and drug discovery. This hire will also help manage the acquisition of scientific datasets for our ML projects. This is a high-visibility, high-impact role that requires working closely with research leads and senior management on a variety of strategic, risk-mitigation, and infrastructure projects.

Ideal candidates will have a background in computer science, ML, and/or related fields; experience coordinating complex technical projects and/or interdisciplinary teams; excellent communication skills; and demonstrated leadership ability.

D. E. Shaw Research (DESRES), based in New York City, 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.

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=642&source=LinkedIn

The expected annual base salary for this position is $200,000–$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.

D. E. Shaw Research, LLC is an equal opportunity employer.