Research Assistant/Associate in Liver Cancer Personalised Medicine

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

Salary
Research Assistant - £33,951 to £35,608
Research Associate - £36,636

The Role
We seek an enthusiastic and ambitious researcher to join our team in the Translational and Clinical Research Institute to work on an exciting project.

This role will involve maintaining and further developing the datasets, focusing particularly on the creation and annotation of tissue microarrays for H&E, spatial transcriptomics and codex multiplex immunofluorescence, as well as the analyses of datasets within the HUNTER SDE. The Research Associate will have the opportunity to apply bioinformatic analyses to these datasets (e.g. single nucleotide polymorphisms, RNAseq, serum proteome, WSI), incorporating the clinical data, primarily for the identification of biomarkers that predict response to treatment. The spatial studies will be a key focus, but integration with complimentary blood based datasets will also be pursued - contributing to a mechanistic framework of liver cancer development and progression - informing novel biomarkers for early detection and therapeutic strategies.

You will work as part of a multi-disciplinary team including clinicians and non-clinical scientists in the William Leech Building and the Paul O'Gorman Building, within the Newcastle University Centre for Cancer.

You will hold or have submitted a PhD relevant to this position. Detailed knowledge of chronic liver disease and HCC staging and medical therapies is required, as is experience assessing liver biopsy histopathology images and biostatistical analyses of large clinical datasets combined with research datasets. You will be expected to have a very good understanding of the different spatial technologies available, their respective benefits and disadvantages, and have some experience with spatial data analyses.

This post is a full-time position, initially for 6 months.

For informal enquiries contact: Helen Reeves h.l.reeves@ncl.ac.uk.

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