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Up Directory CCL 16.07.05 Director/Senior Director, Computational Chemistry in Shanghai, China
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Date: Wed Jul 6 00:18:34 2016
Subject: 16.07.05 Director/Senior Director, Computational Chemistry in Shanghai, China
We are looking for an experienced individual to lead the computational chemistry group. The successful candidate must have a dynamic personality with the drive and enthusiasm to handle multiple projects simultaneously. He/She must also represent BioDuro to multiple international clients and be able to interact across disciplines and demonstrate technical prowess. 
The successful candidate will have a solid theoretical and practical knowledge of molecular modeling, chemoinformatics, virtual screening, QSAR, and data mining. A keen interest in hypothesis-driven drug discovery, strong problem solving skills, and the ability to work in a team environment by engaging with cross-functional scientists are key elements of the role.
The candidate is expected to have a high degree of independence and proven track record of applying computational chemistry techniques to advance small-molecule drug discovery programs. 
In addition the ideal candidate will provide cheminformatics support to profile, curate, maintain and enhance BioDuros fragment collection.
The ideal candidate will also support various database and software systems to collect, disseminate, and analyze all pre-clinical small molecule discovery data to our internal and external scientists.
The position will be based at BioDuros Shanghai facilities.


	Work closely with clients, such as major international pharmaceutical and biotech companies on their drug discovery programs
	Responsible for providing computational chemistry support to SBDD projects
	Devise computational strategies to support small molecule design and optimization
	Improve the quality of drug design by introducing computational chemistry methodologies to enhance the utility of X-ray/homology structures, small molecule molecular modeling, in silico modeling, chemical library design, data mining and chemoinformatics
	Develop and utilize software for in silico prediction of ADME, biology, and safety properties.
	Work collaboratively with chemists and project teams to design compounds with improved potency, selectivity, functional activity and/or ADME properties.
	Support various database and software systems to collect, disseminate, and analyze all pre-clinical small molecule discovery data to our internal and external scientists


	A Ph.D. (or equivalent) in Computational Chemistry, Organic Chemistry or a related discipline
	5 years or more of pharma or biotech experience with a focus on computational chemistry and strong understanding of drug design principles 
	Track record of technical excellence as shown by peer reviewed publications and inventorship status on patents
	Deep understanding of protein structure and conformation, as well as experience with molecular dynamics simulations
	Industrial experience in driving lead identification and lead optimization using computational chemistry techniques
	Hands-on experience in one or more of the following areas: structure-based drug design including docking, homology modeling, molecular dynamics simulation, free energy calculation; ligand-based drug design including pharmacophore modeling, QSAR, 3D-QSAR, pharmacophore- or shape-based database searching, combinatorial and fragment library design, focused library construction, R-group decomposition, pairwise matching, cliff analysis
	Clear understanding of methodologies and algorithms for assessing similarity and diversity across chemical building block sets as well as within compound collections and experimental datasets
	Familiarity with state-of-the-art modeling and cheminformatics tools such as Maestro, MOE, Gold, JChem, Vortex, Spotfire, Knime, etc.
	Must be a team player with strong leadership skills as demonstrated by team leadership experience
	Strong written and oral communication skills with the ability to effectively describe results and ideas to clients who may be based all over the world

Preferred Requirements:

	Expertise with a wide array of computational methods
	Preferably including structure and ligand-based virtual screening, scaffold morphing, programming, statistics, data analysis, QSAR derivation and application, and ADME modeling
	Expert understanding of medicinal chemistry concepts and demonstrated success in addressing medicinal chemistry design challenges
	A strong record of driving projects through to the identification of high quality small-molecule drug candidates
	Awareness of current developments in computational chemistry and ability to identify opportunities to advance the science in this field
	Familiarity with common programming languages such as Perl, Java and C++, as well as functional familiarity with web technologies is a plus. 
	Experience with novel workflow design/integration as well as commercial solutions such as Knime, Pipeline Pilot, Dotmatics and related applications is highly desired.
	Familiarity with all techniques and hardware/software relevant to designing protein constructs for crystallization, obtaining crystals and solving protein and protein-ligand complex structures is a plus.
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Modified: Wed Jul 6 04:18:34 2016 GMT
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