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Field
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longitudinal single-cell and spatial atlas of human kidney adaptation, combining single-cell RNA-seq, spatial transcriptomics, and single-cell ATAC-seq with deeply phenotyped clinical cohorts You will help
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) - Perform single-cell and spatial multi-omics analyses at scale - Integrate genetics with longitudinal transcriptome, clinical, biosensor, trajectories - Contribute to discovery of disease mechanisms and
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Type of contract: 5 month contract The appointed person will be expected to be proficient in gene expression analysis. This will include ability to work with large genomic / transcriptomic datasets
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-resolution microscopy such as STORM, and longitudinal live-cell imaging. Transcriptomic analysis, including bulk RNA sequencing or single-cell RNA sequencing. Computational analysis in R or Python
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations
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, biomedical informatics, genomics, systems biology, quantitative biology, or a related field. Demonstrated experience analyzing genomic, transcriptomic, or other high-dimensional biological datasets
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approaches. Experience with cardiovascular physiology or cardiovascular disease models. Background in molecular biology techniques such as PCR, qPCR, Western blotting, transcriptomic analyses, or related
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allograft rejection/failure is highly desirable. The approaches are founded on interpretation of large data sets from human genome level sequence data and/or mouse cell type specific transcriptome sequence
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spatial transcriptomic platforms. With the breadth of ongoing research projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with
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, single-cell mRNA transcriptomics, and quantitative/functional antibody assays in human and animal models. Responsibilities The postdoctoral associate will – based on their research interest: Design and