This post is intended to develop an exciting research project in the area of regulatory genomics and diabetes mellitus.
The host lab is led by Jorge Ferrer and is highly multidisciplinary, including five computational biologists, as well as chromatin biologists and geneticists. Some of the lab’s interests include (a) understanding non-coding genome function in development and disease (Weedon et al, Nature Genetics 2014, Pasquali et al, Nature Genetics 2014), (b) long non-coding RNA function (Moran et al, Cell Metab 2012), and developmental programming of pancreatic lineages (van Arensbergen et al, Genome Res 2010 and Genes and Dev, 2013; Solar et al, Dev Cell 2009), (c) using genomic tools for development of disease biomarkers.
For more information on the lab’s interests and publications see: http://www.imperial.ac.uk/people/j.ferrer, http://www.betacellregulation.net/.
Research in the team is funded by the Wellcome Trust, Medical Research Council, and National Institutes of Health.
The lab is located in Imperial Centre for Translational and Experimental Medicine, a new research building in Imperial College London’s major biomedical campus, and works in coordination with team members based in Barcelona’s Institut d’Investigacions Biomediques August Pi i Sunyer. The team is part of the Epigenomics and Disease section, which includes the Beta cell Genome Regulation lab, as well as the NIHR Imperial BRC Genomics Facility (http://www1.imperial.ac.uk/genomicsfacility). The campus provides a rich training environment in genomics, epigenetics, genetics, and metabolism research.
The successful candidate should be highly motivated. He or she will lead a project focused on genome regulation in islets, and participate in collaborative projects with other members. Candidates should have prior experience with the analysis of genome-scale data, and must have a publication record in this area, although candidates who can demonstrate experience in leading a PhD project but have not yet published a manuscript will be considered. Diverse educational backgrounds are welcome, but a solid computing background is essential. Solid knowledge of one or more programming languages (e.g Python, C/C++, Perl, R, MatLab) is required. Strong expertise in statistical analysis is highly advantageous.
Salary is £33,410 – £42,380 per annum
Our preferred method of application is online via our website at http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the vacancy reference number (HM2014178) into “Keywords”. Please complete and upload an application form as directed quoting reference number HM2014178. Alternatively, if you are unable to apply online, please email [email protected] to request an application form.
Closing Date: 12 January 2015 (midnight GMT).
Informal inquiries can be directed to [email protected].
The host lab is led by Jorge Ferrer and is highly multidisciplinary, including five computational biologists, as well as chromatin biologists and geneticists. Some of the lab’s interests include (a) understanding non-coding genome function in development and disease (Weedon et al, Nature Genetics 2014, Pasquali et al, Nature Genetics 2014), (b) long non-coding RNA function (Moran et al, Cell Metab 2012), and developmental programming of pancreatic lineages (van Arensbergen et al, Genome Res 2010 and Genes and Dev, 2013; Solar et al, Dev Cell 2009), (c) using genomic tools for development of disease biomarkers.
For more information on the lab’s interests and publications see: http://www.imperial.ac.uk/people/j.ferrer, http://www.betacellregulation.net/.
Research in the team is funded by the Wellcome Trust, Medical Research Council, and National Institutes of Health.
The lab is located in Imperial Centre for Translational and Experimental Medicine, a new research building in Imperial College London’s major biomedical campus, and works in coordination with team members based in Barcelona’s Institut d’Investigacions Biomediques August Pi i Sunyer. The team is part of the Epigenomics and Disease section, which includes the Beta cell Genome Regulation lab, as well as the NIHR Imperial BRC Genomics Facility (http://www1.imperial.ac.uk/genomicsfacility). The campus provides a rich training environment in genomics, epigenetics, genetics, and metabolism research.
The successful candidate should be highly motivated. He or she will lead a project focused on genome regulation in islets, and participate in collaborative projects with other members. Candidates should have prior experience with the analysis of genome-scale data, and must have a publication record in this area, although candidates who can demonstrate experience in leading a PhD project but have not yet published a manuscript will be considered. Diverse educational backgrounds are welcome, but a solid computing background is essential. Solid knowledge of one or more programming languages (e.g Python, C/C++, Perl, R, MatLab) is required. Strong expertise in statistical analysis is highly advantageous.
Salary is £33,410 – £42,380 per annum
Our preferred method of application is online via our website at http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the vacancy reference number (HM2014178) into “Keywords”. Please complete and upload an application form as directed quoting reference number HM2014178. Alternatively, if you are unable to apply online, please email [email protected] to request an application form.
Closing Date: 12 January 2015 (midnight GMT).
Informal inquiries can be directed to [email protected].