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, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing, or organoid models is an asset
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preparation, long read (PacBio, Nanopore) library preparation, RNA-seq, single cell RNA-seq, genome editing, etc.) Demonstrated basic computer programming skills (e.g. ability to use R, Python or other
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited