- Matt

Begin forwarded message:

From: "Jansen, Johanna" <johanna.jansen@novartis.com>
Subject: Temporary position in Novartis Emeryville CADD group
Date: June 17, 2015 at 5:48:58 PM PDT
To: "Brian Shoichet (bshoichet@gmail.com)" <bshoichet@gmail.com>, "'Matt.Jacobson@ucsf.edu'" <Matt.Jacobson@ucsf.edu>, "michael.grabe@ucsf.edu" <michael.grabe@ucsf.edu>
Cc: "Xu, Yongjin" <yongjin.xu@novartis.com>

Dear Brian, Matt & Michael,
 
I hope this message finds you well. I wanted to alert you to a temporary position in our group which may be of interest to current or recently graduated students looking for some industry experience. We are looking for a commitment of 6 months to ensure we get good productivity. We would really appreciate it if you circulate the job description below through your UCSF and other relevant networks. Applicants can send their resumes to either me or Yongjin.
 
Thanks,
Hanneke
 
 
Computational Chemistry Research Scientist (MS)
Computer-Aided Drug Discovery (CADD) Group
Novartis Institutes for BioMedical Research, Emeryville
 
This is a temporary position (6 months) for a computational chemist or computer scientist, with experience equivalent to an MS in chemistry or computer science plus a few years’ experience in a research-based environment or alternatively, a newly graduated PhD with relevant research experience. A basic knowledge of chemistry is required as well as programming skills in python and java. Scripting skills in a Linux environment and web development experience are desirable. Knowledge of at least some of the following tools or scientific technologies is important: molecular modeling, cheminformatics, machine learning, KNIME.
 
The position requires a highly motivated, self-directed individual with excellent communication and collaboration skills. The primary responsibility will be to create and validate high quality computational tools and workflows in collaboration with members of the CADD group. Research areas will include data analysis, data mining & data visualization, (Q)SAR modeling, virtual screening, hit list triaging, and library design. The successful candidate will also apply these tools and workflows in collaboration with other chemistry colleagues in multidisciplinary drug discovery teams.
 
Contact for further information or to submit resume: Yongjin Xu, Yongjin.xu@novartis.com