A one year, part-time, fixed term position is available in the laboratory of Dr Frances Pearl to develop computational tools to identify new cancer drug targets.
The near universal development of genomic instability that accompanies tumourigenesis has brought the pathways that mediate the DNA Damage Response (DDR) to the fore as targets for development of new approaches to the treatment of a wide range of cancers. The aim of this project is to construct a database that integrates public domain and proprietorial Sussex cancer drug discovery data. Using these data will we will develop data mining tools to identify novel DDR oncology targets.
The candidate must be proficient in a range of programming languages (in particular Java, Python/Perl), and have familiarity with parallel computing platforms, data mining and classification algorithms and both relational and NoSQL database systems. Ideally, the candidate will have a good degree in Computer Science (or similar) and an MSc or some research / industrial experience which provides additional depth on some of the needed knowledge.
Knowledge of cancer biology would be an advantage, as would a PhD in bioinformatics or other similar discipline.
The Translational Drug Discovery Group comprises medicinal chemistry and molecular pharmacology laboratories and plays a pivotal role in the School’s translational research strategy which aims to translate a fundamental understanding of disease processes and molecular targets. We provide a stimulating and supportive environment and our expertise covers a range of experimental systems. Further information about our research can be obtained from our website at http://www.sussex.ac.uk/tddg/
If a suitable part-time candidate is not available then a full-time post for a shorter duration may be possible.
Applications, including full CV, should be sent to firstname.lastname@example.org
More information can be obtained informally from Dr Frances Pearl E-mail email@example.com