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of administrative support or program coordination experience required. Experience with data analytics Preferred Qualifications: Master's degree in Business Administration or related field Experience with statistical
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proficiency in both field and lab equipment operation, safe driving, safe use of ATVs, computer skills including GIS, GPS, and statistical packages, knowledge of soil sampling methods, sample processing, and
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daily and monthly statistics and communicates any medical records issues Performs other duties as assigned Salary Information: Commensurate with education and experience Required Documents to Apply: List
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related to the conduction of UAMS Genomics Core projects. No remote work allowed. Qualifications: Bachelor's degree in statistics, Bioinformatics, systems biology, computer science or related field plus
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: Responsibilities: Perform database searching, and analyze proteomics data. Provide statistical results and interactive visualization tools for the end user, meeting with clients to provide consultations and data
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of research conducted at UAMS by providing expert statistical guidance to UAMS investigators. With minimal guidance of Biostatistics Faculty or advanced research staff, the Biostatistician II commonly assists
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to the research project; Perform development work for the project. Depending on the needs of the project, development work could include training, statistical analysis, data mining, machine learning, programming
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to the research project; Perform development work for the project. Depending on the needs of the project, development work could include training, statistical analysis, data mining, machine learning, programming
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: STEM GAs Department's Website: Summary of Job Duties: The Department of Mathematics and Statistics at the UA Little Rock campus is seeking to hire a 9-month graduate assistant. This position will support
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., SDLC, Agile); Project Management Skills; IT Infrastructure knowledge including hardware, operating systems, networks, and cloud computing; Statistics, Data Mining, and Machine Learning; Information