All requirements A Masters degree or foreign equivalent in Computational Chemistry, Bioinformatics, Chemistry or a closely related field plus 3 years of experience in a computational chemistryrelated occupation.br br Experience must include the following, which may have been gained concurrentlybr br 1 3 years of industry experience in computational chemistry applied to smallmolecule drug discovery;br 2 3 years of experience working with multidisciplinary drug discovery teams;br 3 3 years of experience applying modelling to improve potency, selectivity, and pharmacokinetic profiles both independently, and in parallel as part of multiparameter optimization;br 4 3 years of experience using commercial computational chemistrycheminformatics platforms, including Cresset, CCG, OpenEye, or Schrodinger;br 5 3 years of experience applying computational chemistry tasks, including ligand docking, pharmacophore modelling, MD simulations, and QM studies;br 6 3 years of experience applying cheminformatics tasks, including building QSARADMET models, statistical modeling, HTS triage, enumerating and profiling large virtual libraries, and designing small, focused libraries for synthesis;br 7 3 years of experience using Perl, CC, Java, or Python;br 8 3 years of experience with LinuxUNIX systems;br 9 3 years of experience utilizing cloud computing;br 10 3 years of experience using standard and advanced computational methods;br 11 3 years of experience communicating hypotheses, SAR analysis, structural designs and docking experiments using graphics tools and interactive sessions; and,br 12 3 years of experience utilizing machine learning and AI tools and techniques to improve computational chemistry and cheminformatics solutions.
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