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Schrödinger

Computational platform for drug discovery

Materials Science Machine Learning Product Manager - Multiple Teams

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD in Materials Science, Computational Chemistry, Chemical Engineering, Artificial Intelligence, or a related field is required.
  • A deep practical background in Materials Science and Machine Learning is required.
  • Experience working within the software industry and with customers is required.
  • Enthusiasm for traveling to and interacting with customers globally is required.

Responsibilities

  • Interface with existing and potential customers to demonstrate how the software accelerates Materials Science research.
  • Provide guidance and roadmap planning to grow current offerings into new areas of Materials Science.
  • Develop new Machine Learning models to support new customer acquisition.
  • Manage the existing Materials Science Machine Learning team.

Desired Qualifications

  • Successfully led scientific research projects and collaborations, especially in the Machine Learning space.
  • Expertise in agentic workflows.

About the Company

Schrödinger

Computational platform for drug discovery

Schrödinger provides a computational platform for drug discovery used by biopharma, academia, and government labs worldwide. It offers an integrated software suite for molecular modeling and simulations that clients license or access through collaborative research, often complemented by joint drug-discovery programs. The company differentiates itself with a long history (since 1990), a global footprint in 70+ countries, and a combination of software tools plus collaborative services. Its goal is to advance science and talent by strengthening its platform while helping partners discover and develop medicines through computational methods and partnerships.

Company size
501-1,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1990

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