Job Description:
University of Cambridge Department of Veterinary Medicine West Cambridge Site
Fixed-term: The funds for this post are available for 3 years in the first instance.
Applications are invited for this postdoctoral position in computational biology and bioinformatics, funded by the MRC, and tasked with the analysis and modelling of antimicrobial resistance (AMR) genes among bacterial species within animal hosts.
The position is part of large collaborative grant with the aim of elucidating AMR gene transfer between pathogens and the gut microbiota in pigs. This ambitious, multi-disciplinary project will harness cutting-edge genomic technology (meta3C and Hi-C) to identify unculturable bacterial species that contribute to AMR spread. As a result, large amounts of original data will be produced, providing a unique opportunity to develop innovative modelling tools that will have a direct impact on animal and human health.
The post holder will work closely with three other research associates, two microbiologists and a bioinformatician. They will be helping to develop the bioinformatics pipeline to process metagenomic data, undertake primary analysis and interpretation of data, and ultimately use these data to parameterise dynamic models of gene transfer.
This project, led by Dr Mark Holmes, capitalises on the unique multi-disciplinary expertise within the Department of Veterinary Medicine. This position will be under the direct supervision of Dr Olivier Restif, who has extensive experience in modelling bacterial dynamics. The post holder will join the Disease Dynamics Unit (Department of Veterinary Medicine), which is the largest research team in Cambridge working at the interface of models and experiments on infectious diseases.
Applicants should have a PhD in genetics, bioinformatics, computational biology or a related discipline, and must have solid scientific programming skills. Experience in genome data analysis or in population genetics, and collaboration with experimental scientists are an advantage. The candidate must value teamwork and collaboration, and must be able to work to deadlines. A good track record of first author publications is desirable.
Informal enquiries should be directed to Dr Mark Homes (mah1@cam.ac.uk) or Dr Olivier Restif (or226@cam.ac.uk)
Further particulars for the role and information about the Department www.vet.cam.ac.uk
Closing date 2 November 2015
Interviews will be held on 12 November 2015
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
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.
Applicants should submit a CHRIS/6, CV, covering letter outlining suitability for the role and contact details for two references. Please ensure that you upload your Curriculum Vitae (CV) and a covering letter 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 quote reference PP07209 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.
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Research Associate in Computational Biology/Bioinformatics (Fixed Term)
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