Location: | Oxford |
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Salary: | £48,235 to £57,255 per annum : Standard Grade 8 . This is inclusive of a pensionable Oxford University Weighting of £1,500 per year. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 31st January 2025 |
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Closes: | 3rd March 2025 |
Job Ref: | 177960 |
We are seeking to appoint a Senior Bioinformatician to join the GO-PRECISE Alliance (Pre-Cancer Biology and Immunoprevention) launched in 2024, with the aim of conducting deep exploration of precancers to identify their molecular vulnerabilities and developing methods to intercept them. The alliance is directed by Prof Sarah Blagden and theme directors Professors Tim Elliott (immuno-oncology), Ellie Barnes (immunoprevention) and Simon Leedham (precancer discovery).
You will join a multidisciplinary group focused on colorectal cancer co-led by Simon Leedham and David Church at the Centre for Human Genetics. Your role will principally be to analyse whole genome and transcriptome sequencing of bulk and single cell samples and to assist in the integration of these with other modalities (eg spatial transcriptomics, proteomics) as part of a comprehensive multimodal analysis.
You will be responsible for identifying, defining and planning new projects which contribute to the overall aims of the work, and for developing informatics structures to manage large datasets, including the organisation of data storage and repository solutions that meet current publishing standards. You will identify and troubleshoot technical or scientific problems, working collaboratively with other bioinformaticians, database experts and scientific programmers, and maintain detailed state-of-the-art knowledge of genome analysis of all types, and train as necessary on a continuing basis in methods of genetic and statistical analysis.
It is essential that you hold a PhD/DPhil in a Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject, and have demonstrable experience, ability and practical success in biostatistics or bioinformatics. You will be proficient in the use of statistical programming languages such as R/BioConductor, and you will have experience of developing scientific techniques. Knowledge of cancer biology/genetics would be highly desirable for this role.
Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Informal enquires about the post are welcome and should be addressed to david.church@well.ox.ac.uk.
This position is offered full time on a fixed term contract until 31 December 2027 and is funded by GSK.
Only applications received before 12 midday on 3 March 2025 will be considered. Please quote 177960 on all correspondence.
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