Computational Biologist - Multiomics Models of Cancer

Prof Crispin Miller


Salary: from £32,587 to £53,158 depending on experience, plus relocation allowance and Visa costs paid for Skilled Worker visa if required.

About us

The CRUK Beatson Institute is one of Europe's leading cancer research centres, situated in Glasgow and hosting approximately 250 talented researchers at all research stages. We are renowned for our world-class in vivo modelling of tumour growth and metastasis and have an excellent reputation for cutting-edge fundamental and translational research in our three key strategic areas: biology of early disease; energetic stress / cancer metabolism; and microenvironment / metastasis. As well as generous core funding from Cancer Research UK, the Institute receives an additional third of its total income from external grants and industry collaborations. We pride ourselves on our highly collaborative research environment fostered by our outstanding state of the art high performance computing, advanced imaging, proteomic, metabolomic and spatial profiling technologies and expertise.

Project outline

We are seeking a senior computational biologist to join our expanding data science team to work on collaborative projects involving the cross-species, integrated, analysis of in vitro and in vivo multiomics and imaging datasets. These will include single cell analyses, spatial transcriptomics data, and multiplex imaging datasets. A critical aspect of the role will be the integration and positioning of pre-clinical models alongside human tumours in order to develop a better understanding of how genotype drives phenotype, and how the aetiology, tissue morphology, and gene expression patterns within individual tumours shape disease progression.

The successful applicant will have a PhD in computational biology or a related discipline, significant experience analysing multiomics data, will be familiar with R, BioConductor, and the application of statistical approaches to the analysis of large and complex datasets. Expertise in comparative genomics or familiarity with HPC and GPU-based machine learning would be advantageous, but is not a pre-requisite.

The post will holder will join a highly collaborative, inclusive and multidisciplinary team that encompasses computer science, clinical- and basic-biology, statistics and mathematics.

Equality, Diversity and Inclusion

Our overarching research ethos at the Institute is about excellence, honesty, openness, accountability and integrity. The diversity of our staff and students is also what makes the Institute such a vibrant place to work and advance discoveries in cancer research. Family friendly policies, our collaborative ethos, a focus on good mental health and well-being and opportunities for all help to create an enjoyable and inclusive workplace where your voice matters.

The Institute is also committed to increasing the number of female scientists at the postdoc level and beyond and encourages female applicants to apply. We have recently introduced a highly attractive maternity policy which provides 12-18 months support and funding for postdocs wishing to take time off to spend with their children amongst other family friendly policies 

For informal enquiries please email Prof. Crispin Miller at:  

Closing Date: 01/07/2022




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