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evolutionarily conserved structured RNAs and candidate mammalian riboswitches from large genomics and transcriptomics datasets. The position will involve close collaboration with experimental scientists who will
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, genetics, genomics, biostatistics, or a related field Experience with single-cell or spatial transcriptomics Demonstrated experience analyzing next-generation sequencing data (e.g., WES/WGS, bulk or
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populations, such as transplant recipients and individuals with sickle cell disease, using tools including multicolor flow cytometry, single-cell mRNA transcriptomics, and quantitative/functional
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spatial transcriptomics Large-scale data engineering Training is highly individualized and aligned with your career goals, including development of independent research directions. Mentoring The
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/Xenium spatial transcriptomics, whole genomes) and thousands of patients (WGS, RNA-seq, proteomics, metabolomics, longitudinal clinical and dynamic phenotyping). Your work will pinpoint causal
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single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a CV, a brief statement of
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with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development: The postdoctoral associate will work
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immunofluorescence, single cell transcriptomics, high-throughput drug screening assays, CRISPR-based approaches, in vitro tumor models, and biomedical data analysis. Mentoring: The candidate will work
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immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular biology methods, dry-lab
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, the Barak Lab offers unique opportunities to learn and apply: Gene discovery with Whole Exome Sequencing (WES) analysis in a large patient-cohort. Single and spatial transcriptomics/proteomics