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Position: Research Fellow in Computational Cancer Biology
Institution: University College London
Department: Cancer Institute - Pathology
Location: London, United Kingdom
Duties: We are seeking a highly motivated and qualified Research Fellow to join the Fisher laboratory, within the UCL Cancer Institute, which develops state-of-the-art computational models to investigate cancer evolution and mechanisms of treatment resistance in order to find new therapeutic strategies that can be translated into clinical trials and improve the outcome of cancer patients; The post holder will be expected to make significant contributions to the development and analysis of a computational model of triple-negative breast cancer based on the integration of genomic profiles with clinical data in order to predict and explain differential treatment responses. This will involve data discovery, data analysis and computational modelling in partnership with our experimental and clinical collaborators at the Cambridge Integrative Cancer Medicine (ICM) programme at the CRUK Cambridge Centre
Requirements: Applicants must have, or be studying towards, a PhD in a relevant subject with substantial experience in computational work and/or bioinformatics and must have a proven track record of research achievements; Applicants should have experience in analysing cancer genomic data and excellent programming skills in Python, MATLAB and R; Experience in presenting complex scientific concepts and content both in writing and verbally is essential
   
Text: Research Fellow in Computational Cancer Biology , - Ref:1870234 Click here to go back to search results Apply Now UCL Department / Division Cancer Institute Specific unit / Sub department Pathology Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 to £43,470 per annum Duties and Responsibilities We are seeking a highly motivated and qualified Research Fellow to join the Fisher laboratory, within the UCL Cancer Institute, which develops state-of-the-art computational models to investigate cancer evolution and mechanisms of treatment resistance in order to find new therapeutic strategies that can be translated into clinical trials and improve the outcome of cancer patients. The post holder will be expected to make significant contributions to the development and analysis of a computational model of triple-negative breast cancer based on the integration of genomic profiles with clinical data in order to predict and explain differential treatment responses. This will involve data discovery, data analysis and computational modelling in partnership with our experimental and clinical collaborators at the Cambridge Integrative Cancer Medicine (ICM) programme at the CRUK Cambridge Centre. This post is funded until 30th June 2022 in the first instance. Key Requirements Applicants must have, or be studying towards, a PhD in a relevant subject with substantial experience in computational work and/or bioinformatics and must have a proven track record of research achievements. Applicants should have experience in analysing cancer genomic data and excellent programming skills in Python, MATLAB and R. Experience in presenting complex scientific concepts and content both in writing and verbally is essential. 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 £31,479 - £33,194 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page. To apply click the APPLY NOW button at bottom of this page. For enquiries regarding the application process please contact Cancer Institute HR Office ci.hr-office@ucl.ac.uk UCL Taking Action for Equality Closing Date 31 Aug 2020 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 and Person Specification Apply Now
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