Duties and responsibilities of the post holder include but are not limited to: undertake research under supervision as a member of the Secrier lab, design, develop and refine computational/statistical methods to analyse and integrate multi-omics data in the context of cancer, carry out analyses, critical evaluations, and interpretations using methodologies and other techniques relevant to the project
Requirements:
The successful candidate must have a PhD (or be studying towards it) in computational biology, bioinformatics, statistics, computer science, mathematics or similar area. Fluency in R, Python, Perl, C++ or other programming language, good knowledge of statistics, evidence of a publication record in good quality peer-reviewed journals are among Essential Criteria
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Research Fellow - Computational Multi-Omics of Cancer, - Ref:1796911 Click here to go back to search results Apply Now UCL Department / Division Division of Biosciences Specific unit / Sub department Research Department of Genetics, Evolution & Environment Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 per annum Duties and Responsibilities The Secrier lab (https://secrierlab.github.io/) is a multidisciplinary group working at the interface of cancer genomics and immunology. We employ bioinformatics, statistics, machine learning and data integration methodology to investigate aspects of genomic instability and tumour-microenvironment interactions for the purpose of early cancer detection and understanding of neoplastic progression. We are seeking a talented computational postdoc to join the lab at the UCL Genetics Institute, where they will take the lead on an exciting project that aims to understand how genomic instability and complex structural rearrangements in cancer cells may lead to the development of metastases. Duties and responsibilities of the post holder include but are not limited to: undertake research under supervision as a member of the Secrier lab, design, develop and refine computational/statistical methods to analyse and integrate multi-omics data in the context of cancer, carry out analyses, critical evaluations, and interpretations using methodologies and other techniques relevant to the project. The post is initially funded until 30/04/2021. Key Requirements The successful candidate must have a PhD (or be studying towards it) in computational biology, bioinformatics, statistics, computer science, mathematics or similar area. 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. Fluency in R, Python, Perl, C++ or other programming language, good knowledge of statistics, evidence of a publication record in good quality peer-reviewed journals are among Essential Criteria. Broad knowledge of bioinformatics methodologies, experience with HPC environments are among Desirable Criteria. Further Details A job description and person specification can be accessed at the bottom of this page. Please read these carefully before applying for the post. To apply for the vacancy, please click on the "Apply Now" button below. Please include a CV and a cover letter detailing your motivation to apply to this research group in your application. For informal queries regarding the vacancy, please contact Dr Maria Secrier, m.secrier@ucl.ac.uk. If you have any queries regarding the application process, please email biosciences.staffing@ucl.ac.uk quoting the advert reference number 1796911 in the subject line. UCL Taking Action for Equality Closing Date 17 Apr 2019 Latest time for the submission of applications 23:59 Interview date Week commencing 6th May 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 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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