Technical Program/Product Managers for Machine Learning

About the role

We are seeking Program/Product Managers with impressive records of professional achievement to join our New York-based team. In this role, you will help shape our ongoing efforts applying machine learning (ML) to drug discovery, biomolecular simulation, and biophysics. Program/Product Managers collaborate with our teams of ML researchers and engineers to coordinate the day-to-day execution of ML projects and manage relationships with vendors and other third parties.

Current projects focus on developing generative models to identify novel molecules for drug discovery targets, predict PK and ADME properties of small molecules, improve molecular simulations, advance 3D structure prediction, and apply large language models (LLMs) to problems in molecular science and drug discovery. You will also manage the acquisition of scientific datasets for our ML projects.

This is a high-visibility, high-impact role requiring close collaboration with research leads and senior management on strategic, risk-mitigation, and infrastructure projects.

Responsibilities

• Coordinate day-to-day execution of ML projects in drug discovery, biomolecular simulation, and biophysics.
• Collaborate with ML researchers and engineers to advance generative models, molecular simulations, 3D structure prediction, and LLM applications.
• Manage relationships with vendors and third parties.
• Oversee acquisition of scientific datasets for ML projects.
• Work with research leads and senior management on strategic, risk-mitigation, and infrastructure initiatives.

Requirements

• Background in computer science, machine learning, and/or related fields.
• Experience coordinating complex technical projects and/or interdisciplinary teams.
• Excellent communication skills and demonstrated leadership ability.

About D. E. Shaw Research

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. Our goal is to design precisely targeted, highly selective drugs for treating various diseases. Core technologies include Anton, a proprietary special-purpose supercomputer designed to vastly accelerate molecular dynamics simulation. DESRES leverages Anton machines, high-speed commodity hardware, machine learning methods, and other computational techniques in both internal and collaborative drug discovery programs.

We are committed to fostering a stimulating, positive, and collaborative work environment and seek innovative contributors who share this commitment.

Pay

The expected annual base salary for this position is $230,000–$600,000. Compensation also includes variable pay in the form of sign-on and year-end bonuses.

Benefits

• Generous benefits package.
• Relocation and immigration assistance.

Schedule

We follow a hybrid work schedule: employees work from the office Tuesday through Thursday and have the option to work from home on Monday and Friday.