Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence

183469 - Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), The post-holder will lead the management and analysis of large-scale datasets to address joint GSK-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines and workflows for single-cell and spatial omics analysis and integration with clinical, demographic and experimental data. Implementation and/or development of ML/AI approaches to address key questions is also highly encouraged. As a Senior Bioinformatician, you will be responsible for developing new methodologies, taking overall or shared responsibility for development/maintenance of computational pipelines for integration of omics data with other relevant datasets. You will work closely with experimental, clinical and industry partners to better understand the domain, help address scientific hypotheses and support the programme objectives. In addition, you will provide bioinformatics input into outline and full grant proposals, as a co-applicant.

You must hold a PhD/DPhil with a significant computational and/or statistical element, or comparable industrial research experience. You must have expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience of developing computational methods for omics data analysis, along with experience and knowledge of another relevant programming language (e.g. R), is desirable.

Grade 8: Salary in the range of £49,119-£58,265 per annum This is a fixed-term, full time position for 3 years, in the first instance