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Field
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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, sociology, or other relevant fields. Experience with analysis of large health science databases or studies Analysis experience in R, SAS, STATA or a similar statistical programming language Demonstrated
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
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AEST (Job Reference Number: R-51455).
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statistical software (e.g., SPSS, R, or SAS) and familiarity with research databases. Excellent communication and interpersonal skills are essential. High level of motivation, attention to detail, and a
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
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) University Police (3) University Stores (3) Academic Advising (2) Adv Educ in General Dentistry (2) Advancement Services (2) Alumni Affairs & Constituent R (2) Athletics (2) Auxiliary Operations (2