Research Assistant/Fellow in Cancer Bioinformatics

Brunel University London - Department of Computer Science

College of Engineering, Design and Physical Sciences

Full Time, fixed term (6 months), with a possibility of an extension

Expected start date: July 14, 2017 or as soon as possible thereafter

Salary (Grade R1): £28,453 to £38,183 per annum plus £2,166 per annum London Weighting

This is an opportunity to join a team of leading specialists in artificial intelligence, text mining, cancer research and automated experimentation.

You will be involved in the ‘Big Mechanism’ program funded by DARPA. Big mechanisms are large explanatory models of complicated systems, and the application domain is cancer biology. The project is a collaboration involving the Brunel University with partners in the University of Manchester, the University of Chicago, and several top artificial intelligence and cancer groups in the USA.

You also will join the Robot Scientist project led by the University of Manchester. A Robot Scientist is a physically implemented laboratory automation system that exploits techniques from the field of artificial intelligence to execute cycles of scientific experimentation.

You will be involved in research on cancer bioinformatics, including analysis of cancer patients’ genomic data, protein expression levels, etc. You will also be engaged in the project’s administration, liaise with project partners, write journal papers and monthly project reports, and present the results at project meetings and conferences. You will be responsible to Dr Larisa Soldatova (Brunel University).

Candidates should have a PhD in bioinformatics, computer science, or a similar field (or be nearing completion of PhD). Understanding of cancer biology will be an advantage. You should also have excellent communication skills, broad knowledge of computer science and publications commensurate with your career stage. Please contact Dr Larisa Soldatova for informal enquiries at: Larisa.Soldatova@brunel.ac.uk

Expected interview date: 25 April, 2017

For further details and to apply please visit https://jobs.brunel.ac.uk/WRL/

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