Postdoctoral Researcher in Bioinformatics

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, Statistics, Statistical Genetics, Computing, Mathematical Biology or a related relevant scientific subject. Experience, ability and practical success in biostatistics or bioinformatics together with expertise in the use of statistical packages, including R and expertise in programming using Python, SQL, and/or other languages are essential. As are professional interest in genetics, transcriptomics, proteomics, and imaging data research activities, excellent communication and teamworking skills and experience in drafting reports and manuscripts for dissemination. Previous research experience in the genetics of human disease and experience in development or implementation of Machine Learning algorithms are desirable.

 

This is a full-time, fixed-term until 30/04/2028 appointment.

 

The closing date for this position is 12 noon on 15/04/2024. You will be required to upload a CV and supporting statement as part of your online application.

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