Bioinformatician at University of Sheffield

Contract: This post is fixed-term for 12 months

We have an exciting opportunity for a bioinformatician to join the Clinical Infection Research Group (CIRG) to work on a large-scale, global health research project evaluating host gene signatures in acute undifferentiated infection (AUFI). The successful applicant will analyse large clinical and gene expression data sets to determine whether functional genomic signatures can be used to accurately identify and usefully discriminate bacterial, viral and parasitic causes of acute undifferentiated fever in South Asia and Africa.

The successful applicant will use large RNA sequencing data sets for the identification of diagnostic signatures by applying machine learning algorithms including (but not limited to) neural networks, elastic nets, random forest (rf), support vector machines (svm), and sparse Partial Least Square (sPLS) regression models.

There will also be opportunities to contribute to other research projects and the associated publications from within the CIRG so this role would suit someone who enjoys working as part of a team.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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