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Posted Apr 06
Schrödinger, Inc.

Senior Scientist, Machine Learning and Virtual Screening

New York, NY, United States Full Time

Senior Scientist, Machine Learning and Virtual Screening

Schrödinger, a technology leader specializing in software solutions for life science research and development, is seeking a computational scientist with outstanding skills in empirical scoring function development, parameterization and validation. The ideal candidate is a scientist experienced in the application, development, and refinement of methods to rapidly predict protein-ligand complex geometries and ligand activities. The candidate should also have a demonstrated ability to adapt modern machine learning methods to virtual screening applications. The candidate should also work well in a collaborative environment and be eager to adopt good software engineering practices.


Required qualifications include:

  • Ph.D. in computational chemistry, chemical physics, or related fields
  • Unix/Linux, Fortran/C/C++, and Python experience
  • Peer-reviewed publications in computational chemistry and/or chemical physics
  • Experience using modern machine learning methods including Random Forest, Support Vector Machines, and/or Deep Learning
  • Experience developing empirical scoring functions for predicting protein-ligand complex geometries and binding affinities
  • Excellent communication skills, both written and verbal


Benefits include medical, dental, 401(k), flexible spending account, vacation, tuition reimbursement, and a flexible work schedule.

Schrödinger is an equal opportunity employer.

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