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comment: We are seeking to appoint a highly qualified and experienced Postdoctoral Researcher in Bioinformatics, this is a new and exciting role for the UK Research and Innovation Musculoskeletal Functional Genomics Initiative Cluster (MSK Cluster) based at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Botnar Research Centre, Oxford. The MSK Cluster is led by Professor Dominic Furniss, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional genomic readouts and tissue imaging, to human tissue models, organoids, and bioreactors. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and Manchester Universities, with International collaborators in Europe and the USA, as well as Industrial partners. In addition, it is anticipated that there will be close collaboration with the other funded clusters in Edinburgh and London. As a Postdoctoral Researcher in Bioinformatics main focus of your role will be on co-ordinating and integrating the analysis of genetic, transcriptomic, proteomic, and imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans for studies across MSK diseases of interest, working with other team members, and contributing to the overall planning of studies. You will develop methodologies for analyses and data collection in collaboration with other members of the research team, in particular the novel use of multi-modal machine learning, conduct detailed analysis of datasets, including genetics, transcriptomics, proteomics, and imaging data and identify & troubleshoot technical or scientific problems. You will have a Doctoral (PhD) degree or equivalent, or be near completion, in Biostatistics, Mathematics,…
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based near: Botnar Research Centre
subject: research
further particulars: 171882_JD
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application closing date: 2024-04-15T12:00:00+01:00
contact: HR Team, NDORMS
application opening date: 2024-03-25T09:00:00+00:00
salary: Standard Grade 7: £36,024-£44,263 p.a.
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171882_JD
value: Job Description _________________________________________________________________________ Summary Job title Postdoctoral Researcher in Bioinformatics Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024-£44,263 per annum Hours Full time Contract type Fixed-term (until 30/04/2028) Reporting to Prof Dominic Furniss Vacancy reference 171882 The role The UK Research and Innovation Musculoskeletal Functional Genomics Initiative Cluster (MSK Cluster) will begin in May 2024. This is one of four Functional Genomics clusters in the UK that have been funded by UKRI to accelerate the translation of genetic results into tangible benefits for patients. The MSK Cluster is led by Professor Dominic Furniss, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional genomic readouts and tissue imaging, to human tissue models, organoids, and bioreactors. There is also a strong commitment to training and public engagement. We aim to accelerate translation of genetic findings across four key MSK diseases: osteoarthritis, carpal tunnel syndrome, frozen shoulder, and Dupuytren disease. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and Manchester Universities, with international collaborators in Europe and the USA, as well as industrial partners. In addition, it is anticipated that there will be close collaboration with the other funded clusters in Edinburgh and London. Your specific role will be as the bioinformatic lynch-pin of the cluster, co-ordinating and integrating the analysis of genetic, transcriptomic, proteomic, and imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and p…
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