Computational Biologist in Spatial Transcriptomics

We have an exciting opportunity for a Computational Biologist in Spatial Transcriptomics interested in computational biology and 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.

You will be responsible for managing your own academic research and administrative activities, and this will include performing hands-on assay development and data analysis of several complementary spatial transcriptomic platforms (e.g. 10X Visium and Xenium, Nanostring GeoMx and CosMx) and incorporate single-nuclei RNA-seq data to improve spatial resolution of above platforms. You will develop analysis software to integrate gene expression at the single-cell level, molecular cell type identity and anatomical organization across multiple structures in the human brain. You will also develop algorithms and novel strategies to analyze and visualize large-scale multi-omics data from internal and publicly available datasets to enable target discovery and biomarker identification.

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. 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 for 5 years in first instance and is funded by GSK.

Only applications received before 12 midday on Monday 17 April 2023 will be considered. Please quote 164074 on all correspondence.