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Position: Research Associate in Bioinformatics/Computational Biology
Institution: University College London
Department: Research Department of Structural & Molecular Biology
Location: London, United Kingdom
Duties: Developing improved classification of protein functional families. Development of algorithms for protein function prediction. Development and maintenance of a public website and an in-house database containing protein function data. The candidate will be part of the CATH-Gene3D team and contribute to the development of this well established international resource
Requirements: The successful candidate must have a PhD in a relevant field (computer science, bioinformatics or computational biology). Experience of web programming, Java, XML, Perl, Linux and SQL are desirable. Previous experience in bioinformatics research, especially in structure-function analysis of proteins, protein networks and machine learning is desirable
   
Text: Research Associate in Bioinformatics/Computational Biology, - Ref:1731986 Click here to go back to search results Apply Now UCL Department / Division Research Department of Structural & Molecular Biology Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?34,635 - ?41,864 per annum Duties and Responsibilities Exploiting evolutionary data and protein networks to predict protein functions. Applications are invited to apply for the position of Research Associate to work in the Group of Professor Christine Orengo at UCL. The project is in collaboration with other experimental groups at UCL. CATH is a comprehensive protein domain family resource combining sequence, structure and functional data for over 90 milllion protein domains. This project will improve the classification of domains into functional families and the exploitation of this family data and protein network data in the prediction of protein molecular functions and biological processes. Predictions will be tested experimentally through collaboration with Professor Jurg Bahler, UCL, using a yeast fission model of ageing. This project will investigate new ways of combining protein family and network data with other types of protein data. Various machine learning strategies will be explored. The role involves: ? Developing improved classification of protein functional families ? Development of algorithms for protein function prediction. ? Development and maintenance of a public website and an in-house database containing protein function data. ? The candidate will be part of the CATH-Gene3D team and contribute to the development of this well established international resource. This post is funded for 3 years in the first instance. Key Requirements The successful candidate must have a PhD in a relevant field (computer science, bioinformatics or computational biology). Experience of web programming, Java, XML, Perl, Linux and SQL are desirable. Previous experience in bioinformatics research, especially in structure-function analysis of proteins, protein networks and machine learning is desirable. Please note: Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary ?30,316- ?31,967 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections). Further Details Full details on the role and the person specification can be accessed at the bottom of this page. Please ensure you read these carefully before applying for the post as candidates must meet all essential criteria to be considered. To apply for the vacancy please click on the ?Apply Now? button. If you would like to discuss the post please contact Professor Christine Orengo, c.orengo@ucl.ac.uk For any queries regarding the application process, please contact Biosciences Staffing on biosciences.staffing@ucl.ac.uk and quote the reference 1731986 UCL Taking Action for Equality Closing Date 21 Jul 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description and Person Specification Apply Now
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