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for calculating productivity-based compensation, including the analysis of visits, wRVUs, coding, collections, and procedures by provider, specialty, and clinic. This position will also assist with the department’s
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on borderlands related topics, assisting with qualitative and quantitative data analysis, creating data visualizations, and performing assigned clerical tasks and social media-related objectives. Under
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teaching • Experience and/or expertise with data visualization, simulation, and/or statistical methods that support our current course offerings in Data Science • Ability to teach courses using Python and R
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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on dataset development and preparation for analysis; assisting with data exploration, quality control, and troubleshooting; synthesizing literature related to trauma, clinical decision rules, and diagnostic
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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for operational improvements. Apply continuous business improvement techniques and models using business intelligence tools to enhance organizational data visualization and reporting capabilities. Recommend and
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literature review and data analysis. Collecting, managing, and analyzing relevant survey and administrative data. Conducting and publishing high-quality research and preparing grant proposals in close
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transcriptomic/proteomic data analysis, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing
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California State University, San Bernardino | San Bernardino, California | United States | 2 days ago
may: Conduct literature reviews and summarize research findings. Assist with experiments, simulations, coding, and data analysis. Develop and test research software or tools (e.g., for AI or wireless