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Postdoctoral scientist in organoid multiomics

Oxford
University of Oxford
Scientist
Posted: 12h ago
Offer description

We are looking for a

n enthusiastic post-doctoral scientist to work in our research team. You will be based in the Old Road Campus Research Building in the tumour evolution and cell identity laboratory, as your normal place of work. You will join the SMOC (Stem cell signatures of Mutational Order in Colorectal Cancer) study, a Cancer Research UK–funded programme led from the University of Oxford. The project aims to uncover how the sequence of genetic mutations in colorectal cancer drives changes in stem cell identity, epigenetics, tumour–microenvironment interactions, and therapy response. You will lead the multiomic and phenotypic profiling of gene-edited and patient-derived organoids in the SMOC study. This will involve bulk and single-cell RNA-seq, ATAC-seq, DNA methylation profiling, and proteomics, integrated with high-content live-cell imaging datasets (SPOT/SAM analysis). You will develop pipelines to link genotype, transcriptome, epigenome, and morphodynamic phenotypes, and use these to explore how mutational order shapes stem cell identity, heterogeneity, and therapy response. The role offers extensive opportunities for collaborative and interdisciplinary science, working closely with experimental biologists, computational modelers, and clinical partners. You will be positioned to drive mechanistic insights and translational applications, with the chance to lead high-profile publications. About you You will hold (or be close to completing) a PhD in molecular biology, genomics, bioinformatics, or a related field. You will bring strong experience in single-cell and/or bulk multiomic technologies, with skills in data analysis and interpretation. Familiarity with colorectal cancer biology, epigenetics, or advanced imaging/phenotyping would be an advantage. You will have a strong publication record, excellent communication skills, and the ability to work across disciplines. A collaborative mindset and the drive to integrate complex data into novel biological insights will be key. This full-time/part-time post is available immediately fixed-term for six years in the first instance. Application Process

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