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or multi-omics integration preferred. Experience with Python preferred. Knowledge, Skills, and Abilities: Proficiency in R for data manipulation, statistical analysis, and visualization. Working
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genomics databases (e.g., gnomAD, 1000 Genomes, TOPMed). Prior hands-on experience with these resources is preferred but not required. - Proficiency in R required; Python is also acceptable. - Working
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. Proficiency in Python programming Experience utilizing AI-enabled tools in teaching, engineering education, or data analysis. Familiarity with data analytics, data science, and machine learning concepts
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investigator on the status of the research. Collect and log laboratory results. Evaluate and perform data analysis using Python, R, and other specialized linux tools for genomics data. Prepare and present
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(e.g., RNA-seq, genomics, epigenomics). - Strong programming skills in Python and/or R. - Experience in statistical analysis and data science. - Ability to work both independently and collaboratively in