Applications are invited for a talented bioinformatician to lead an exciting project aiming to shed light on the fundamental biology of ageing and neurodegenerative diseases using a unique single cell data set. The post holder will join Professor Patrick Chinnery's research group (Head of Clinical Neurosciences, University of Cambridge) which is a world leading team of clinical, laboratory and bioinformatic scientists studying the role of genetic variation in brain ageing and disease. The Chinnery group is housed within the MRC Mitochondrial Biology Unit on the Cambridge Biomedical campus and also has a translational research team embedded within the Department of Clinical Neurosciences at Addenbrooke's hospital. This provides a unique opportunity to gain access to patient cohorts and clinical data alongside leading genomic technologies in the Cambridge cluster. The team publishes high-profile publications including Science, and Nature Cell Biology (Nature Genetics 2020:in press; Science. 2019 May 24;364(6442); Nat Cell Biol. 2018 Aug;20(8):991).
Professor Chinnery's research group is mapping the trajectory of somatic mutations across the brain throughout the life course using state of the art single cell genomics at scale, in health and disease. The post holder will perform the primary analysis of this unique dataset using computational and bioinformatics approaches. It is anticipated that this work could change the understanding of Alzheimer's and Parkinson's disease by linking developmentally acquired mutations to cell function through single cell RNA sequencing data on a massive scale. The role holder will closely collaborate with computational biologists within the Chinnery group and computer scientists/bioinformaticians hosted by Prof Nick Jones at the Department of Mathematics, Imperial College London. In addition, the post holder will work closely with other bioinformaticians, laboratory and clinical scientists in the University of Cambridge, Wellcome Trust Sanger Institute, and The European Bioinformatics Institute, as well as other bioinformatics teams across the campus.
The post holder will have the opportunity to work on a range of experimental and publicly available genomic and clinical datasets, including long and short-read whole genome sequencing (e.g. Illumina and Oxford Nanopore sequencing), whole exome sequencing, ultra-high depth DNA and RNA sequencing of the nuclear and mitochondrial genomes, single cell DNA-sequence and transcriptomic data, and epigenomic datasets. They will also use state-of-the-art bioinformatics tools for the analysis of sequencing data and, when necessary, develop novel analysis tools. In addition to their own research, there will be opportunities for training and career development.
Post graduate education in computational biology (or a closely related discipline) at PhD level, deep understanding of bioinformatics/computational biology is essential.
For questions relating to the post, please contact Professor Patrick Chinnery: firstname.lastname@example.org.
Fixed-term: The funds for this post are available until 28 February 2023 in the first instance.
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Closing Date: 25 April 2021, with the interview date expected to be 06 May 2021.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference RR25686 on your application and in any correspondence about this vacancy.
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