|Salary:||£2,752.13 monthly stipend after tax (Year 1 stipend).|
|Placed On:||17th June 2019|
|Closes:||29th July 2019|
About the team/job
The Beltrao group is recruiting for a core funded Postdoctoral Fellow position in the broad areas of structural bioinformatics, evolutionary systems biology and proteomic based study of phosphorylation/ubiquitin signalling.
Our group is generally interested in studying how genetic variation gives rise to phenotypic differences via changes in the biology of the cell. Within this broad scope, we have a line of research focused on developing and integrating different variant effect predictors (www.mutfunc.com), Wagih et al. Mol Sys Bio 2018) in order to interpret the molecular consequences that are intermediate between genotype and phenotype (Galardini et al. eLife 2017).
A second area of study in the group is our major interest in the study of phosphorylation signalling, where we make use of phosphoproteomic data to study: the evolution and functional relevance of phosphorylation (Studer et al. Science 2016, Strumillo et al. Nature Communications 2019), global kinase signalling systems and specificity, (Ochoa et al. Mol Sys Bio 2016; Bradley et al. bioRxiv 2018) and changes in kinase signalling in disease (Memon et al. bioRxiv 2019). We are also interested in applying several of these same ideas to the study of ubiquitin regulation. Finally, we have a growing interest in cancer genomics (Gonçalves et al. Cell Systems 2017) and understanding differences in gene deletion responses and drug responses in cancer cell lines, through collaboration with the DepMap consortium (http://depmap.org/sanger).
We welcome applicants with a PhD and an interest in contributing to any of the areas of research in the group (https://www.ebi.ac.uk/beltrao). We are primarily looking for applicants with a very strong bioinformatics background but we will consider also candidates that are interested in combining experimental work with computational analysis.
Considered applicants must hold a PhD in Life Sciences with experience in computational biology. We welcome applicants from diverse starting backgrounds in computational biology with a particular focus on protein bioinformatics. Examples of backgrounds that could fit the group would be those with experience in: structural bioinformatics; computational analysis of proteomics data; drug target prediction and chemical-informatics; ancestral sequence/state reconstructions; and cancer genomics.
The post holder should enjoy working in a highly collaborative and interdisciplinary environment, interested in the development of computational methods and machine learning. Good written and oral communication skills are essential.
Informal enquiries about the post can be directed to firstname.lastname@example.org
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