|CCL 20.01.16 Computational Chemist, University of Dundee, UK|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
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=setxvfqnmhpiefcjxtNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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