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Position: Research Associate - Computational Biology
Institution: University College London
Department: Cancer Institute
Location: London, United Kingdom
Duties: Duties and responsibilities of the post holder include but are not limited to: contribute in all phases of the project lifecycle, from study design to publication, identify and apply the most suitable computational methods to be used in the research project, evaluate available software and develop new bioinformatics tools if required
Requirements: The successful candidate must have a PhD in bioinformatics (or another related or quantitative discipline), or possess the equivalent experience. Applicants must have demonstrable research experience in bioinformatics and excellent programming and scripting skills (e.g. R, Python, Perl, etc.). Experience in the analysis of next-generation sequencing data is essential. Experience of working in a Linux/UNIX environment and scripting is desirable. Excellent organizational and communication skills are essential
   
Text: Research Associate - Computational Biology, - Ref:1723383 Click here to go back to search results Apply Now UCL Department / Division Cancer Institute Specific unit / Sub department Research Department of Oncology Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?34,635 - ?41,864 per annum Duties and Responsibilities The UCL Cancer Institute is the hub for cancer research at University College London, one of the World's leading universities. The Institute draws together over 300 talented scientists who are working together to translate research discoveries into developing kinder, more effective therapies for cancer patients. The Treatment Resistance Group, headed by Prof Gerhardt Attard, is seeking a Computational Biology Research Associate. Using state-of-the-art cellular, genomic and bioinformatics technologies the group has an interest in tracking tumour clone dynamics in patients with urological cancers. The project and candidate will focus on using novel approaches to interpret and intergrate genomic, epigenomic and transcriptomic next-generation sequencing data obtained from cell-free DNA and tumour samples from patients in clinically-relevant prostate cancer cohorts with carefully annotated clinical follow-up data. Duties and responsibilities of the post holder include but are not limited to: contribute in all phases of the project lifecycle, from study design to publication, identify and apply the most suitable computational methods to be used in the research project, evaluate available software and develop new bioinformatics tools if required. The post is initially funded for 3 years. Key Requirements The successful candidate must have a PhD in bioinformatics (or another related or quantitative discipline), or possess the equivalent experience. Applicants must have demonstrable research experience in bioinformatics and excellent programming and scripting skills (e.g. R, Python, Perl, etc.). Experience in the analysis of next-generation sequencing data is essential. Experience of working in a Linux/UNIX environment and scripting is desirable. Excellent organizational and communication skills are essential. 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 Laime Matkeviciute (HR Assistant), l.matkeviciute@ucl.ac.uk Informal enquiries can be directed to Prof Gerhardt Attard ( g.attard@ucl.ac.uk ). For further information on the Treatment Resistance Group, please see: https://www.ucl.ac.uk/cancer/research/department-oncology UCL Taking Action for Equality Closing Date 1 Jun 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 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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