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Field
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morphology. Design, coordinate and interpret bulk RNA-sequencing experiments with the project bioinformatician. 'Analyse, interpret and integrate experimental data from cellular, imaging and transcriptomic
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, in the field of RNA metabolism and regulation of gene expression. There are opportunities to develop new approaches to integrative structural biology. In addition, the Research Fellow will use
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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spatial transcriptomoics, combined single-cell ATAC and RNA multiomics, and pooled CRISPR screening. ● Develop, apply, document, and maintain computational tools, both for own use and to support
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, subject to agreement with the Trust. Additionally, you design and deliver translational studies using single-cell and bulk RNA sequencing, tissue proteomics, immunohistochemistry, functional
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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openness to new perspectives Desired qualifications Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis Experience in computational genome studies (e.g., TF-DNA
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openness to new perspectives Desired qualifications Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis. Experience in computational genome studies (e.g., TF
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integrate high-dimensional molecular analyses, including single-cell RNA sequencing, spatial transcriptomics, proteomics, immune repertoire sequencing, and other multi-omics technologies. Collaborate with
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experience in cancer biology, animal models, transcription, RNA biology, or related fields. Prior experience with molecular biology, biochemistry, and cancer functional assays. Excellent written and oral