Computational Biologist

Brain BioLink, a new MRC-funded initiative to transform access to biosample and technology-driven translational neuroscience research, 2023-2026, will establish a digitally integrated, interactive,  three- dimensional human brain teaching and research platform for Oxford University students, trainees and academics working at the interface of clinical and basic neurosciences. The platform will be aligned and, as much as possible, integrated with national and international digital brain visualisation efforts (e.g. EU’s Human Brain Project, Human Cell Atlas, Oxford Digital Brain Bank, Allen Brain Atlas, UK / NIH disease specific atlases (e.g. for motor neuron disease, UK MND RI, Dementia Platform UK). The project will be developed in collaboration with BrainLab, the leading provider of neuronavigation software.

The Centre for Human Genetics, part of the Nuffield Department of Medicine in collaboration with the Nuffield Department of Clinical Neuroscience is seeking a talented and motivated Computational Biologist to join our team. You will work on an exciting new collaborative data platform that will support cutting edge analyses of complex datasets, accelerating the understanding of human biology and accelerating the development of disease therapies.

You will be responsible for analysing and interpreting complex biological datasets using advanced statistical and machine learning techniques. These will include spatial omics, genomics, transcriptomics, proteomics, metabolomics, and imaging data. You will develop analysis pipelines in using frameworks such as Nextflow or SnakeMake, and conduct original research, analyse data, and present findings in a clear and concise manner. In addition, you will leverage published analysis and develop novel methods or develop and implement predictive models and machine learning algorithms to support cutting-edge analyses of complex datasets.

It is essential that you hold a PhD/DPhil (or close to completion) in statistics, machine learning, bioinformatics or another related computational subject. You will have experience of biological data analysis, and experience of data integration methods. It is essential you have strong proficiency in coding in Python or R (ideally Python) in Unix / Linux environments. Experience with spatial omics data analysis is desirable.

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.

This position is offered full time on a fixed term contract until 30 September 2026 and is funded by the MRC.

Only applications received before 12 midday on 3 April 2024 will be considered. Please quote 171482 on all correspondence.

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