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Schrödinger is seeking a Materials Science Applications Scientist to contribute to the advancement of human health and quality of life through computational methods. This role, within the European Materials Science Applications Science team, involves close collaboration with industrial and academic customers to tackle scientific problems. The position is a one-year parental leave coverage with the possibility of extension.

The Materials Science Applications Scientist will:

  • Provide scientific support to customers through presentations, demonstrations, and training.
  • Act as a liaison between customers and Schrödinger's software developers, sales, and marketing teams, offering feedback on technology requirements and feature enhancements.
  • Publish scientific papers and present at conferences.

Requirements include:

  • PhD in Chemistry, Materials Science, Engineering, Physics, or a related field.
  • Broad knowledge of molecular modeling theory and applications, with experience in classical molecular dynamics for simulating complex organic systems.
  • Excellent English language skills.

Preferred skills include:

  • Experience with coarse-grained and/or quantum mechanical modeling techniques.
  • Postdoctoral research or relevant commercial sector experience.
  • Python programming proficiency.

Schrödinger offers:

  • Opportunity to work with advanced computational methods.
  • Contribute to solving challenging scientific and engineering problems.
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Schrödinger

Schrödinger is a company dedicated to enhancing human health through advanced computational methods. It develops and distributes a suite of molecular modeling and informatics applications, catering to top-tier customers in scientific fields. The company focuses on providing solutions for challenges in software environments. Schrödinger fosters collaboration between product managers, developers, and scientists, emphasizing customer success and continuous improvement of its software deployment and support. The company also maintains internal scientific computing resources.