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Research Associate (Pathogen Bioinformatics) (Fixed Term)


We are seeking to recruit a Research Associate with expertise in pathogen genomics. The position would be based in Andres Floto's laboratory in the Molecular Immunity Unit, Department of Medicine, University of Cambridge, (located in the MRC Laboratory of Molecular Biology) and Julian Parkhill's laboratory at the WT Sanger Institute.

The successful candidate would work on a number of exciting projects currently underway on two cystic fibrosis pathogens: Pseudomonas aeruginosa and Mycobacterium abscessus. We are seeking to understand the breadth and depth of genetic and phenotypic diversity in the context of cystic fibrosis through the generation of next-generation sequencing datasets and phenotypic screens of large collections of isolates, allowing us to answer questions ranging from the global epidemiology of these pathogens to within-host evolutionary dynamics. The post will require analysis of a number of different datasets including metagenomic, metabolomic, NGS and RNAseq. In addition to contributing to these large collaborative projects, the successful candidate will also have the opportunity to lead projects and publish papers as a first author in high quality journals.

The post requires a PhD (or equivalent) in molecular biology, microbiology or equivalent, extensive experience of analysing pathogen genomic datasets, experience of using high-performance compute clusters and the ability to code in a programming language such as Python, Perl or equivalent. Ideally the candidate will have experience in phylogenetics, metagenomics and analysis of RNAseq data. Applicants will be expected to work closely and interactively with colleagues in different disciplines, and to have communications skills.

For informal enquiries, contact Andres Floto (arf27@cam.ac.uk) or Julian Parkhill (parkhill@sanger.ac.uk)

Fixed-term: The funds for this post are available for 2 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Closing date for applications is the 30th November 2017, with interview dates yet to be confirmed by the department.

Please quote reference RC13909 on your application and in any correspondence about this vacancy.

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Further information

Apply online