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Date: Tue Jan 29 08:58:26 2019
Subject: 19.01.29 Computational Chemist
The Drug Discovery Unit (DDU) (see is a fully integrated drug discovery operation based within a world class Life Sciences research environment. The DDU houses about 95 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 and, together with the other Computational Chemists, to drive the development of computational methods for compounds optimisation. 

The post is available immediately. Salary will depend 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), data visualisation (e.g. Vortex) and pipelining tools (e.g. PipelinePilot)
 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)
 Expertise in building predictive models using statistical and machine learning methods 
 Expertise in Multiparameter optimisation
 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 College of Life Sciences at Dundee:
 The College of Life Sciences has over 1000 research and support staff from around 60 countries and external funding in excess of 100 million in 2013
 Dundee has twice been named the best place to work in Europe in a poll of scientists conducted by The Scientist magazine
 Life Sciences at the University of Dundee is the highest-rated for Biological Sciences in the UK by the main standard of University research performance REF2014.
Dundee, set on the east coast of Scotland, has a relatively low cost of living. It 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 one of the top universities in the UK. Family friendly policies, staff support networks for BME and LGBT staff, membership of Athena SWAN and Stonewall, as well a full range of disability services, create an enjoyable and inclusive place to work.
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