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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally
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presentation, HLA expression, interferon-response signaling, HER2, or tumor-intrinsic immune evasion. Experience with epigenetics, chromatin biology, transcriptomics, DNA methylation, ATAC-seq, RNA-seq, or other
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of prostate cancer, particularly spatial transcriptomics and single cell genomics to support and advance basic and clinical research. In this role, you will be part of the mission to share our resources and
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resistance, or tumor-immune interactions. Experience with genomics, epigenomics, transcriptomics, single-cell analysis, or biomarker development. Experience analyzing or coordinating studies involving human
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. The work is performed on-site or at a designated assignment location. Be Bold. Available research areas include: Mechanistic studies of how m6A alters RNA:protein interactions across the transcriptome
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: Mechanistic studies of how m6A alters RNA:protein interactions across the transcriptome Defining the roles of m6A and RNA-binding proteins in brain development, neural function, and neurological disease
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sequencing, and spatial transcriptomics. Be Bold. Qualifications: A PhD, MD, or MD/PhD in a biomedical sciences-related field is required, along with a peer-reviewed publication record. Experience in RNA
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heterogeneity in malignant brain tumors. The primary responsibilities for this position will be focused on analysis of single-cell transcriptomic and epigenomic datasets with the goal of identifying cell types