Salary per annum £32,780-£41,093
Full Time, Part Time, Flexible Working Full Time/Flexible working considered
Contract Type Fixed Term
Contract Length 36 months
Job Reference 84530
The Bayraktar group is seeking a postdoctoral fellow to explore how the tumour microenvironment (TME) drives malignant cell states in glioblastoma (GBM) using large-scale spatial multi-omics. Our exciting “GBM-space” project brings together an international collaboration funded by Wellcome LEAP to integrate single cell transcriptomics, epigenomics and spatial RNA/DNA-sequencing to systematically deconstruct TME-GBM cell interactions and plasticity in situ.
The Bayraktar group studies the cellular wiring of human tissues using spatial genomics, focusing on brain development and disease. Our highly collaborative and international team has expertise in single cell/spatial genomics, microscopy and multi-modal data analysis. The GBM-space project led by Dr. Bayraktar brings us together with other experts in bioinformatics, cancer and neurodevelopment across Cambridge, DFKZ and the Crick.
About the role/you:
You will generate exciting single cell and spatial genomic datasets of GBM, drive data interpretation and design for your own project for validation or functional follow-up. You will perform single nuclei multi-ome (10X joint snRNA-ATAC-seq) profiling of human GBM resection tissue samples, supported by our wet-lab team. You will be responsible for the biological interpretation of our integrated single cell and spatial genomic datasets, working closely with computational scientists to identify TME-GBM interactions and malignant cell trajectories. You will develop follow-up projects for orthogonal validation (in situ sequencing, 3D tissue imaging) or functional studies (patient-derived cell lines, high content screens, PDX models) using technologies available through our group and our local collaborators.
You should have a track record in cancer biology and a strong interest in neural development. Experience with single cell / spatial genomic or high-throughput functional assays is desirable. We are looking for an independent individual who can craft their own projects, yet work with our diverse wet and dry lab staff to accomplish our large-scale and collaborative scientific goals. You are expected to play a vital role in writing up studies. You will be embedded in a world-leading and multidisciplinary research environment and become a valued member of our team.
Relevant publications of the team:
Cell2location maps fine-grained cell types in spatial transcriptomic data. Kleshchevnikov V, Shmatko A….Stegle O, Bayraktar OA. bioRxiv 2020 https://doi.org/10.1101/2020.11.15.378125 (Nature Biotechnology in press).
Transcriptome-wide spatial RNA profiling maps the cellular architecture of the developing human neocortex. Roberts K, Aivazidis A...Hemberg M, Bayraktar OA. bioRxiv 2021 https://doi.org/10.1101/2021.03.20.436265
Astrocyte layers in the mammalian cerebral cortex revealed by a single-cell in situ transcriptomic map. Bayraktar OA*, Bartels T…Geschwind DH, Rowitch DH*. Nature Neuroscience 2020.
Please apply with your CV and a Cover letter outlining your suitability for the role addressing the criteria set out above and in the job description.
This is a rolling advert, we will consider applications and hold interviews on an ongoing basis and the role will close when a successful appointment has been made.
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