Retrosynthesis Researcher, Machine Learning

Schrödinger seeks a Retrosynthesis Researcher in Machine Learning (ML) to join us in our mission to transform the discovery of therapeutics and materials. Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world.

Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs. As a member of our Machine Learning team, you’ll work at the forefront of computational chemistry and AI, contributing to high-impact research with real-world applications in small molecule drug discovery and materials science.

What You’Ll Do

, AiZynthFinder, ASKCOS, IBM RXN) A background in graph-based learning, attention mechanisms, and transformer architectures applied to chemical data Familiarity with reaction condition prediction and reaction yield optimization.

Perks

: Schrödinger understands it’s people that make a company great.

Compensation

, and a wide range of

package is dependent on a num

Benefits

that include healthcare (with dental and vision), a 401k, pre-tax commuter

, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events.

New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. Estimated base salary range: $120,000 - $145,000.