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Machine Learning Force Field Scientist

Schrödinger · New York · $120k–$175k

The role

Develop state-of-the-art machine learning force fields for life and materials sciences using quantum chemical methods and Python-based ML toolkits. Requires PhD in a relevant scientific field and experience with ML force fields and electronic structure methods. Build and manage large datasets and extend accuracy of current force fields.

Pay
$120k–$175k
Location
New York

What we know that the posting doesn’t say

  • Seen todaystill listed on the employer’s careers page
  • Posted 16 days agothe first time we saw it
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Key skills

  • python
  • pytorch
  • scikit-learn
  • numpy
  • scipy
  • pandas
  • machine learning
  • force fields
  • dft
  • quantum chemistry

We’re seeking a Machine Learning (ML) Scientist 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 mor…

Extracted from the employer’s posting. Read it in full on Schrödinger’s careers page

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