软件开发转accounting# Accounting - 会计审计
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https://dow.taleo.net/careersection/10060/jobdetail.ftl
首先声明，我不是计算化学那个组的，但是如果有背景符合我可以帮你们递简历。另外
有什么情况要问我可以尽量回答。
Computational Chemist- Discovery Chemistry R&D-1303723
Description
Dow AgroSciences, based in Indianapolis, Indiana, USA, develops leading-edge
crop protection and plant biotechnology solutions to meet the challenges of
the growing world. Dow AgroSciences is a wholly owned subsidiary of The Dow
Chemical Company and had annual global sales of $6.4 billion in 2012.
The Discovery Chemistry Group within Dow AgroSciences is seeking a
Computational Chemist who can successfully work as part of a
multidisciplinary team to discover and exploit small molecule leads for crop
protection, pest and vegetation management. Research experience in one or
more of the following areas is essential: homology modeling, structure-based
design, docking, pharmacophore modeling, QSAR, 3D-QSAR, 3D database
searching, shape based searching, combinatorial library design,
cheminformatics, and lead optimization. Familiarity with modeling software,
such as Sybyl, MOE, Schrödinger, Discovery Studio, Gaussian and
Pipeline Pilot within a UNIX environment is required.
Primary Responsibilities:
· Generate various models (homology, QSAR, COMFA, etc.) to help
direct targeted synthesis
· Generate 3D minimizations, matching overlays, pharmacophore
models, and pharmacophore searching of 3D databases to aid targeted
synthesis and acquisition
· Participate in the generation and exploration of ideas using
cheminformatics tools
· Conduct simulation of ligands docked in protein models to
influence target selection
· Leverage capabilities and technical knowledge to impact and
enable a wide range of Discovery science efforts including process
improvements, diversity assessment of chemical collections, etc
· Evaluate, recommend, and implement state of the art computational
capabilities for Discovery Chemistry
· Generate predictive models for physical property calculations
· Develop and maintain a variety of databases related to the needs
of different project teams
· Coach chemists and biologists in the use of computational and
cheminformatics tools for lead generation and optimization
This position is located in Indianapolis, IN, USA.
Qualifications
The successful candidate will have a Ph.D. in computational chemistry
An additional 2-5 years of post-doctoral and/or industrial experience in
modeling is preferred
Experience in implementing computational chemistry workflows using
Pipeline Pilot, Pilot Scripting or other scripting/macro languages (SPL, SVL
, Perl, Python) is preferred
A track record of technical excellence, highly effective communication,
teamwork, interpersonal skills, and demonstrated leadership is essential for
this position
首先声明，我不是计算化学那个组的，但是如果有背景符合我可以帮你们递简历。另外
有什么情况要问我可以尽量回答。
Computational Chemist- Discovery Chemistry R&D-1303723
Description
Dow AgroSciences, based in Indianapolis, Indiana, USA, develops leading-edge
crop protection and plant biotechnology solutions to meet the challenges of
the growing world. Dow AgroSciences is a wholly owned subsidiary of The Dow
Chemical Company and had annual global sales of $6.4 billion in 2012.
The Discovery Chemistry Group within Dow AgroSciences is seeking a
Computational Chemist who can successfully work as part of a
multidisciplinary team to discover and exploit small molecule leads for crop
protection, pest and vegetation management. Research experience in one or
more of the following areas is essential: homology modeling, structure-based
design, docking, pharmacophore modeling, QSAR, 3D-QSAR, 3D database
searching, shape based searching, combinatorial library design,
cheminformatics, and lead optimization. Familiarity with modeling software,
such as Sybyl, MOE, Schrödinger, Discovery Studio, Gaussian and
Pipeline Pilot within a UNIX environment is required.
Primary Responsibilities:
· Generate various models (homology, QSAR, COMFA, etc.) to help
direct targeted synthesis
· Generate 3D minimizations, matching overlays, pharmacophore
models, and pharmacophore searching of 3D databases to aid targeted
synthesis and acquisition
· Participate in the generation and exploration of ideas using
cheminformatics tools
· Conduct simulation of ligands docked in protein models to
influence target selection
· Leverage capabilities and technical knowledge to impact and
enable a wide range of Discovery science efforts including process
improvements, diversity assessment of chemical collections, etc
· Evaluate, recommend, and implement state of the art computational
capabilities for Discovery Chemistry
· Generate predictive models for physical property calculations
· Develop and maintain a variety of databases related to the needs
of different project teams
· Coach chemists and biologists in the use of computational and
cheminformatics tools for lead generation and optimization
This position is located in Indianapolis, IN, USA.
Qualifications
The successful candidate will have a Ph.D. in computational chemistry
An additional 2-5 years of post-doctoral and/or industrial experience in
modeling is preferred
Experience in implementing computational chemistry workflows using
Pipeline Pilot, Pilot Scripting or other scripting/macro languages (SPL, SVL
, Perl, Python) is preferred
A track record of technical excellence, highly effective communication,
teamwork, interpersonal skills, and demonstrated leadership is essential for
this position
