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Emerging Scholars Council is seeking a Post-Doctoral Research Fellow to join the Guest Lab at the Institute of Genetics and Cancer for a 2-year funded project. You will lead spatial multi-omics and single-cell transcriptomics on tissue from transgenic mouse models, collaborating with Keio University on MALDI-MSI.
The role emphasizes computational integration of spatial metabolomic and transcriptomic data, in vivo tissue processing, and developing the analysis pipeline.
Fixed-term: 2 years Together we can do great things. Be part of something bigger.
Full-time: 35 hours per week Fixed-term: 2 years Together we can do great things. Be part of something bigger.
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We are seeking a Post-Doctoral Research Fellow to join the Guest Lab at the Institute of Genetics and Cancer (Disease Models & Mechanisms theme) for a 2-year post funded by the Cholangiocarcinoma Foundation (CCF). Our lab investigates the tissue-specific selection of IDH1/2 mutations in intrahepatic cholangiocarcinoma (ICC), one of the most aggressive human malignancies. This project uses cutting-edge spatial multi-omics approaches to understand why IDH mutations are selected in specific hepatic cell populations. Using novel FLEx-IDH transgenic mouse models and CARLIN lineage tracing, we are building spatially-resolved metabolic-transcriptomic maps of the hepatic progenitor niche to identify the microenvironmental conditions that permit IDH-mutant clone expansion.
The post holder will lead the spatial multi-omics component of this programme, performing spatial and single-cell transcriptomics (Visium/scRNA-seq) on tissue from novel transgenic mouse models and working with collaborators at Keio University (Japan) who will perform MALDI mass spectrometry imaging (MALDI-MSI) for spatial metabolomics. A key element of the role involves the computational integration of spatial metabolomic and transcriptomic datasets to create unified spatial coordinate systems. The post holder will also contribute to the in vivo experimental work, including tissue harvesting and processing from transgenic mouse models. The post holder will work closely with the PI, collaborators, and other lab members to develop and optimise the spatial analysis pipeline and to contribute to high-impact publications.
The ideal candidate will have strong computational and bioinformatics skills for multi-modal data integration, combined with experience of working with mouse models and tissue processing. Experience with spatial omics technologies (e.g. spatial transcriptomics, mass spectrometry imaging) and/or single-cell RNA sequencing would be highly advantageous. Knowledge of liver biology, cancer metabolism, or cholangiocarcinoma is desirable.
This post is full-time (35 hours per week); however, we are open to considering flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.