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We are seeking to appoint a Spatial Transcriptomics Computational Biologist interested in neuroscience to join the NDCN team in the first instance, reporting to Associate Professor Laura Parkkinen, with oversight from the IMCM Programme Manager and IMCM co-director Professor John Todd.

This post provides an exciting opportunity to join the newly established multidisciplinary Oxford-GSK Institute for Molecular & Computational Medicine (IMCM) operating within Nuffield Department of Medicine (NDM) in collaboration with Nuffield Department of Clinical Neuroscience (NDCN), Nuffield Department of Population Health (NDPH) and Department of Physiology, Anatomy and Genetics (DPAG). The Institute brings together the very best scientific, clinical, technological and computational expertise from Oxford University and GSK to form a unique industry/academic partnership. In this positon, you will be seconded to NDCN in the first instance for a period of 24 months, and you must be willing to work on a crosscutting departmental basis depending on the scientific need of projects under IMCM.

You will be part of a team optimizing two spatial transcriptomics platforms, 10X Visium and Nanostring GeoMx, for target discovery using human PD brain formalin-fixed paraffin-embedded tissue. With the support of the IMCM Bioinformatics team, you will also provide computational biology expertise to incorporate snRNA-seq data to deconvolute cell specificity and improve the spatial resolution of the maps created by these techniques. You will contribute to the development of a plan for the computational analyses of these data, and you will apply existing bioinformatics tools, and design, develop, implement and maintain novel algorithms to conduct analyses of these data. Your studies will inform the consequent subcellular analysis using next-generation platforms 10X Xenium and Nanostring CosMx with targeted sequencing.

It is essential that you hold a relevant PhD or DPhil (or close to completion) in bioinformatics, computational biology, neuroscience, physics, applied mathematics, or related field. You will have Having strong quantitative skills, such as technical expertise in molecular biology, genetics, or genomics is essential; and you will be able to program at a high level in R or Python including substantial experience analyzing genetic or genomic data.

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 2028, and is funded by GSK.

Only applications received before 12 midday on Wednesday 7th June 2023 will be considered. Please quote 165376 on all correspondence.