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Up Directory CCL 17.04.04 Machine Learning Researcher, Schrödinger, NYC
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Date: Tue Apr 4 15:40:37 2017
Subject: 17.04.04 Machine Learning Researcher, Schrödinger, NYC

Schrödinger, a technology leader specializing in software solutions for life science research and development, is seeking a computational scientist interested in designing new deep learning primitives for computational chemistry. The goal of this role is to make generalizable models, not simply very good interpolative models. To do this Schrödinger believes that network architectures and data structures should reflect the world they are attempting to model. The candidate should have a demonstrated ability to apply new Machine Learning models into different domains outside of their original first intention. The candidate should understand how Machine Learning algorithms work, and be able to discuss optimal data structures for different physical problems. In order to accomplish this the candidate must have an up to date understanding of current work for Machine Learning in drug discovery.

Required qualifications include:

  • Ph.D. in computational chemistry, chemical physics, or related fields.
  • Peer-reviewed publications in computational chemistry, chemical physics and Machine Learning.
  • Experience using modern Machine Learning methods outside of their initial intended domain.
  • Experience injecting domain knowledge into model network structure.
  • Experience creating novel Machine Learning techniques in non continuous domain spaces.
  • Experience using Machine Learning in low data settings.
  • Excellent communication skills, both written and verbal.

We offer highly competitive compensation packages. Benefits include medical, dental, vision, 401(k), flexible spending account, 3+ weeks vacation, tuition reimbursement and a flexible work environment.

Please apply directly via our website at:

Schrödinger, Inc. is an equal opportunity employer.

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Modified: Tue Apr 4 19:40:37 2017 GMT
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