Edinburgh Genomics is a thriving, high impact, international genomics facility based at the University of Edinburgh, providing access to the latest next-generation sequencing, SNP genotyping, microarray and bioinformatics technologies to researchers worldwide (see http://genomics.ed.ac.uk). Using our state of the art data generation and analysis infrastructures, we collaborate with research teams throughout Scotland, the UK and Worldwide to enable leading-edge genomics research in all areas of the medical, biomedical, agricultural and environmental sciences. The facility is already one of the largest in the UK, with a turnover in excess of £5 million per year, and has recently (May 2015) expanded through the initiation of a high-throughput human genome sequencing capacity. The facility now operates as two divisions: Clinical Genomics and Genome Science. This position will be based in Edinburgh Genomics’ Genome Science division. EG Genome Science collaborates with partners in the full project life cycle, including project inception and design, grant application, data generation, data analysis and publication. Our highly-skilled staff of laboratory technologists, bioinformatics specialists and team leaders work together to assure high quality throughout our collaborations with colleagues across the science spectrum, and we pride ourselves on our accessibility and professionalism.
EG Genome Science works closely with the research groups led by Mark Blaxter (with interests in environmental genomics, evolution and bioinformatics), Karim Gharbi (genetics and genomics of wild populations, genetic mapping informatics) and Mick Watson (metagenomics, gene expression and regulation, host-pathogen interactions and bioinformatics).
Edinburgh Genomics has "recognised genomics facility" status with the three main UK research councils. Edinburgh Genomics is one of the two genomics nodes of the NERC Biomolecular Analysis Facility, has National Capability core funding from BBSRC, and was one of the two funded UK MRC High Throughput Sequencing Hubs.