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be considered if combined with advanced coursework in cell and molecular biology and genetics. Experience working in a Unix/Linux environment, as well as documented experience in R or Python, is
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience
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and/or transcriptomics data Practical experience of working in Python and/or R, and Git Practical experience of working in computational cluster environments Knowledge of tumor and immune biomarkers
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or R are required (Python is preferred). Experience with analysis and visualization of large data is expected. Fluency in written and spoken English is required. Merits: Proven ability to write