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Position: Research Fellow in Bioinformatics, Biological Networks, Biomedical Data Science
Institution: University College London
Department: Biomedical Data Science (Intelligent Systems)
Location: London, United Kingdom
Duties: The project will involve interfacing with national and international clinical and biological collaborators to develop and apply sophisticated models and algorithms carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data, including whole genome sequences, epigenetic data, protein-protein interaction networks, signalling, metabolic networks, transcriptional regulation networks, gene and disease ontologies, drug similarity networks, drug-target interactions, drug-drug interactions, patient records, lifestyle data etc
Requirements: The successful candidate will hold a PhD, or will shortly be assessed for a PhD in Computer Science, Bioinformatics or related discipline and have knowledge of one or more of the following: bioinformatics, medical informatics, algorithms, statistics, machine learning, programming in C, C++, a scripting language, Matlab, using a parallel computing environment, scientific computing, data analysis, graph and complexity theory
   
Text: Research Fellow in Bioinformatics, Biological Networks, Biomedical Data Science (x2), - Ref:1754391 Click here to go back to search results Apply Now UCL Department / Division UCL Department of Computer Science Specific unit / Sub department Biomedical Data Science (Intelligent Systems) Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities The overall objective of the project is to collect and analyse large-scale molecular and patient data to aid personalizing treatment. Many data sets are represented as networks, so knowledge of network analysis, machine learning and optimization is required. The project will involve interfacing with national and international clinical and biological collaborators to develop and apply sophisticated models and algorithms carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data, including whole genome sequences, epigenetic data, protein-protein interaction networks, signalling, metabolic networks, transcriptional regulation networks, gene and disease ontologies, drug similarity networks, drug-target interactions, drug-drug interactions, patient records, lifestyle data etc. 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 ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. This post is initially funded for 3 years in the first instance. Expected starting date is around 1st November 2018. Key Requirements The successful candidate will hold a PhD, or will shortly be assessed for a PhD in Computer Science, Bioinformatics or related discipline and have knowledge of one or more of the following: bioinformatics, medical informatics, algorithms, statistics, machine learning, programming in C, C++, a scripting language, Matlab, using a parallel computing environment, scientific computing, data analysis, graph and complexity theory. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact Prof. Natasa Przulj, natasa@cs.ucl.ac.uk , 44-(0)7760-656-330. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 1 Nov 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in 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 UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description & Person Specification Apply Now
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