Post-doctoral Research Associate: Construction of a genome scale functional proteomic map (Fixed Term)
Department/Location: Department of Biochemistry, Central Cambridge
Closing date: 31 May 2016
This postdoctoral research position is for a collaborative project of the Ralser Lab. (Department of Biochemistry, University of Cambridge and The Francis Crick Institute) and the Lilley Lab. (Cambridge Centre for Proteomics, University of Cambridge), and aims, in collaboration with the mass spectrometry manufacturing industry, to construct the first genome-spanning proteomic map of a eukaryote. This is an exciting, but challenging project, will yield a novel depth of the insight into how the eukaryotic proteome is functioning, and combines the complementary experience of the Ralser and Lilley Labs.
Here, we aim to recruit an experimentalist, however, as we will also seek a computational postdoctoral researcher to join the team, postdocs/PhDs with a relevant background in computational biology/ biological machine learning or data processing are encouraged to apply as well.
The ideal candidate will have recently completed, or is about to complete a PhD in Biology, Biochemistry, or Systems Biology, and has either had contact with yeast or microbial functional genetics or genomics, proteomics, or metabolomics. Ideally, the candidate will have hands-on experience with liquid chromatography, mass spectrometry, or similar analytical hardware. As for all projects of data-driven biology, apart from the listed experimental skills, we welcome applicants with an affinity for computational data processing that exceed beyond using Office software, although we will provide the appropriate training. The candidate must possess a track record that documents his/her productivity in the biosciences, and is willing to join a dynamic team both located in Cambridge and at the Francis Crick Institute.
Fixed-term: The project is intended to be completed in 2020; the post is available for 1 year 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/10236. 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.
Further information is available from Markus Ralser – email@example.com
Please quote reference PH09015 on your application and in any correspondence about this vacancy.
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Source: Nature Jobs