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Date: Tue Oct 10 21:34:41 2017
Subject: 17.10.10 Postdoctoral Fellow in Computational Chemistry, TDI, New York
Postdoctoral Fellow in Computational Chemistry, TDI, New York

Tri-Institutional Therapeutics Discovery Institute, Inc. (TDI) is an independent, not-for-profit organization controlled by three leading not-for-profit New York-based academic institutions, Weill Cornell Medicine (WCM), The Rockefeller University (RU) and Memorial Sloan-Kettering Cancer Center (MSKCC). The mission of TDI is to enable the scientific community to advance their groundbreaking biological discoveries to animal proof-of-concept studies. TDI provides industrial-scale technical support for academic projects, making it possible to rapidly assess the utility of specific therapeutic targets in disease-relevant contexts.

Position Summary
The TDI is looking for a postdoctoral fellow in computational chemistry to work on drug discovery projects in a vibrant and collaborative research group at a premier scientific institution. Computational technologies are a critical component of modern-era drug discovery programs. Application of computational methods in lead identification and optimization contribute to accelerating key steps along the drug discovery pipeline. The post-doc will play an active role as a molecular modeler in multidisciplinary drug discovery teams. There will be opportunity to interact with application scientists at Schrödinger to leverage the companys software and workflows on TDI projects. The position also offers opportunities to develop improved computational methods in virtual screening, ligandability assessment, and cheminformatics.

Position Activities and Requirements

  • Support early-stage and late-stage small molecule projects by performing docking and free energy calculations
  • Support curation and integration of compound databases
  • Communicate modeling data to medicinal chemists
  • Provide technical support to medicinal chemists with using the Schrdinger suite
  • Write and edit scientific manuscripts


  • PhD in computational chemistry and/or biophysics
  • Extensive knowledge of the Schrdinger software suite, including Maestro, Glide, Prime, Jaguar
  • Knowledge of structure-based drug design, drug discovery process and pharmacokinetics/pharmacodynamics
  • Knowledge of statistical mechanics or artificial intelligence is a plus
  • Experience with protein modeling
  • Excellent communication and presentation skills; desire to be part of a collaborative research group
  • Strong track record of research accomplishment with three or more scientific publications or conference presentations

Apply via email:
Patti Aha
413 E. 69th St. New York, NY 10021, USA

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Modified: Wed Oct 11 01:34:41 2017 GMT
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