Job ID: PH12438
Job date: 2017-07-19
End Date:
Company : University of Cambridge Country : Role : Postdoc
Job date: 2017-07-19
End Date:
Company : University of Cambridge Country : Role : Postdoc
Job Description:
Cambridge Centre for Proteomics is currently looking to recruit an experienced post-doctoral bioinformatician within its core facility unit. The successful candidate will be required to analyse high-throughput proteomics datasets using numerous proteomic software packages (e.g. Proteome Discover, Scaffold and Mascot) and apply multiple statistical tests to datasets. Programming literacy (preferably R) is essential as is previous knowledge of working with proteomics data. The role will require the research and development of analysis solutions to complex biological problems. The role-holder will be an integral member of CCP and will need to interact closely with other members of CCP and internal and external users of the service to provide interpretation of results from complex datasets and also experimental design. The role holder will have a PhD in bioinformatics, biochemistry or a related subject.
Additional Info:
Fixed-term: The funds for this post are available for 36 months in the first instance. Informal enquiries about the position can be sent to Mike Deery (md289@cam.ac.uk) To apply online for this vacancy and to view further information about the role, please visit:http://www.jobs.cam.ac.uk/job/13998. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Enquiries about the online application process can be sent to Adriana Dote (personnel@bioc.cam.ac.uk) Please quote reference PH12438 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.[Click Here to Access the Original Job Post]
Cambridge Centre for Proteomics is currently looking to recruit an experienced post-doctoral bioinformatician within its core facility unit. The successful candidate will be required to analyse high-throughput proteomics datasets using numerous proteomic software packages (e.g. Proteome Discover, Scaffold and Mascot) and apply multiple statistical tests to datasets. Programming literacy (preferably R) is essential as is previous knowledge of working with proteomics data. The role will require the research and development of analysis solutions to complex biological problems. The role-holder will be an integral member of CCP and will need to interact closely with other members of CCP and internal and external users of the service to provide interpretation of results from complex datasets and also experimental design. The role holder will have a PhD in bioinformatics, biochemistry or a related subject.
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Additional Info:
Fixed-term: The funds for this post are available for 36 months in the first instance. Informal enquiries about the position can be sent to Mike Deery (md289@cam.ac.uk) To apply online for this vacancy and to view further information about the role, please visit:http://www.jobs.cam.ac.uk/job/13998. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Enquiries about the online application process can be sent to Adriana Dote (personnel@bioc.cam.ac.uk) Please quote reference PH12438 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.[Click Here to Access the Original Job Post]