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Up Directory CCL 20.01.16 Computational Chemist, University of Dundee, UK
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Date: Thu Jan 16 05:27:35 2020
Subject: 20.01.16 Computational Chemist, University of Dundee, UK
Reference Number:	SLSC0691
Job Title:		Computational Chemist
School:			Life Sciences
Unit:			BCDD
Grade:			Grade 7 (32,817- 40,322)
Closing Date:		15th February 2020
 
  
The Drug Discovery Unit (DDU) (see http://www.drugdiscovery.dundee.ac.uk)
 is a fully integrated drug discovery operation based within a world class
 Life Sciences research environment. The DDU houses about 100 scientists 
structured in discipline focused teams (Medicinal Chemistry, Structural 
Biology, Computational Chemistry, Biophysical Screening, Biology, 
Compound Management, ADME/PK). Its remit is to complement BioPharma 
activities by tackling both neglected diseases (apicomplexan, tuberculosis
 and kinetoplastid disease) and validation of novel targets and mechanisms 
across a range of potential therapeutic areas. The DDU works to Biotech 
style philosophy and standards incorporating, dynamic, goal driven project 
management based on Target Product Profiles and Compound Selection Criteria. 
The project goals are therapeutic area dependent but range from quality 
leads demonstrating disease model proof of concept, through to pre-clinical 
candidates.

The DDU Computational Chemistry Team is looking for a highly motivated 
Computational Chemist. 
The successful candidate will work as part of our multi-disciplinary drug
 discovery teams contributing to compound design from the hit discovery 
process to lead optimisation. Together with the other Computational 
Chemists will also drive the development of computational methods for 
compounds optimisation. 

The post is available immediately. Starting salary from 32,817 to 40,322 
depending on experience. A relocation allowance is available.
 
Necessary skills and experience:
 Highly motivated, self-directed individuals professionally qualified with a PhD 
 in computational chemistry, bio/cheminformatics, or a related topic.
 Strong scientific background with an understanding of the Drug Discovery
 process
 Experience in both structure-based and ligand-based drug discovery
 A sound knowledge of commercial molecular modelling software 
 (e.g. Schrodinger-LiveDesign), data visualisation (e.g. Vortex) and 
 pipelining tools (e.g. PipelinePilot, Knime)
 Ability to work independently, and in close collaboration with discovery 
 scientists as part of a team
 Good time management, organizational and communication skills. 
 Strong interpersonal, communication and presentation skills
 
Desirable Experience:
 Excellent knowledge in at least one programming or scripting language 
 (Python, Perl, Java, R and R-Shiny)
 Experience in the creation of data workflows as well as data analysis
 and interpretation.
 Quantum Mechanics/Molecular Dynamics in drug discovery
 Exposure to drug discovery projects
 
A few facts about The School of Life Sciences at Dundee:

 The School of Life Sciences has over 900 research and support staff from 
 59 countries and external funding in excess of 40 million per year
 Dundee has twice been named the best place to work in Europe in a poll of
 scientists conducted by The Scientist magazine
 The School of Life Sciences has been consistently rated 5-star (the 
 highest rating) by the UK national Research Assessment Exercise. Dundee, 
set on the east coast of Scotland, lies in an area of outstanding natural 
beauty, including large sandy beaches and challenging hills.
 
The diversity of our staff and students helps to make the University of 
Dundee a UK university of choice for undergraduate, postgraduate and 
distance learning. 
Family friendly policies, staff networks for BME, Disabled and LGBT staff, 
membership of Athena SWAN, the ECU Race Equality Charter and Stonewall as 
well a full range of disability services, create an enjoyable and inclusive 
place to work.
Apply at this link:
https://www.jobs.dundee.ac.uk/fe/tpl_uod01.asp?s=4A515F4E5A565B1A&jobid=103959,0222029887&key=144802429&c=02478652875825&pagestamp=setxvfqnmhpiefcjxt
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Modified: Thu Jan 16 10:27:35 2020 GMT
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