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Postdoctoral Research Associate – Informatician

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Postdoctoral Research Associate – Informatician (Fixed Term)

Salary: £28,982-£37,768

Reference: PH09168

Closing date: 21 June 2016

Proteomics/Mass Spectrometry, Department of Biochemistry, University of Cambridge, Central Cambridge.

We are seeking to employ an enthusiastic postdoctoral scientist to join the Cambridge Centre for Proteomics, at the University of Cambridge, led by Professor Kathryn Lilley. The successful candidate will work on a project funded by a joint Wellcome Trust Investigator award to Professor Anne Willis (MRC Toxicology Unit, University of Leicester) and Professor Kathryn Lilley. The project is entitled “Transcription, Trafficking, Translation: dissecting the spatiotemporal mechanisms underlying localised protein synthesis”.

It is now widely acknowledged that mRNA is spatially organised such that its translation frequently occurs in the vicinity where the corresponding protein product adopts its function. This phenomenon has been studied extensively in specialised cells, however, recent research has suggested that spatial restriction of mRNA storage and translation is much more widespread.

The aims of this project are to define where translation of mRNA takes place in the cell, how this is regulated by protein binding partners and sequence motifs and how this changes upon cellular perturbation.

We are building a team of RNA biologists, mass spectrometrists, and informaticians to help tackle these challenging aims.

This post involves the development of machine learning approaches to interrogate spatial data from proteomics and transcriptomics experiments. Creation of on-line resources to allow public accessibility of data. All post-holders will be expected to assist in the creation of a series of workshops and public outreach events to disseminate methods, data and concepts to the wider community.

The ideal applicant will have (or in the final stages of completing) a PhD in computational biology with a background in dealing with large data sets generated from proteomics and/or next generation sequencing. A knowledge of machine learning tools and the R programming language is essential.

The following recent publication has direct relevance to this project: 1. A draft map of the mouse pluripotent stem cell spatial proteome. Christoforou et al Nature Commun. 20167:8992. doi:10.1038/ncomms9992 2. Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. Breckels et al PLoS Comput Biol. 2016 May 13;12(5):e1004920. doi: 10.1371/journal.pcbi.1004920

For more information please visit: http://www.bioc.cam.ac.uk/people/uto/lilley and http://tox.mrc.ac.uk/

Fixed-term: The funds for this post are available for 3 years in the first instance.

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/10413. 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.

Informal enquiries can be made to Professor Lilley – k.s.lilley@bioc.cam.ac.uk

Please quote reference PH09168 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.

Don’t forget to mention Naturejobs when applying.

Source: Nature Jobs

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