University of Dundee

Computational Chemist

Unit: 
Biological Chemistry and Drug Discovery
Job Reference: 
LS0131
Closing Date: 
Monday, January 16, 2012
Salary: 
Grade 8 (£36,862 - £44,016)

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. Its remit is to complement BioPharma activities by tackling both neglected diseases and early stage small molecule 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.

We are looking for highly motivated Computational Chemist to contribute to hit validation and hits to lead chemistry projects, with the goal of identifying leads demonstrating appropriate pharmaceutical properties and efficacy in disease models. The post requires regular interactions with screening scientists, medicinal chemists, and the DMPK team. We also seek to develop an integrated virtual chemistry platform and the appointee would play an active role in its development. This is a unique opportunity to be part of a drug discovery team within an academic setting.


The post is available immediately and is for two years. Starting salary will depend on experience but we expect to be in the range £40,280 - £44,016.


Your responsibilities:
• Use computational methods to assess the druggability of potential targets
• Design focused and general purpose screening libraries
Analyse high-throughput screening results to identify potential lead series
• Use protein structure or ligand information to generate pharmacophore models and design potential drug candidates
• Help to develop an integrated computational chemistry – informatics platform to accelerate the discovery of quality drug candidates.

Knowledge, qualifications, skills and experience:
• PhD in computational or medicinal chemistry or in a related discipline and with subsequent experience in the area of molecular modelling or chemoinformatics
• Experience and background in Biotech, CRO or Pharma industry is preferred
• Understanding and appreciation of pharmacology, metabolism, pharmaceutics and pharmacokinetics, toxicology, necessary for the lead optimisation processes is an advantage
• Experience using Pipeline Pilot would be preferred
• Knowledge of a scripting language and working experience with a relational database would be a distinct advantage.
• Strong interpersonal, communication and presentation skills
• Good time management, organizational and communication skills.


A few facts about The College of Life Sciences at Dundee:
• The College of Life Sciences has over 1000 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 College 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.


For informal discussion about the post only, please contact Prof Paul Wyatt, tel: (01382) 386231 or email: p.g.wyatt@dundee.ac.uk.


How to Apply:
To apply on-line please visit: www.dundee.ac.uk/jobs. If you are unable to apply on-line please contact Human Resources on (01382) 386209 (answering machine) for an application pack. Please quote reference number LS0131.  Closing Date: 16 January 2012.


The University of Dundee is committed to equal opportunities and welcomes applications from all sections of the community.

The University of Dundee is a Scottish Registered Charity, No. SC015096.