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of large-scale administrative data, among other approaches. This position will include a variety of tasks that provide preparation for graduate school, such as analyzing data, developing statistical models
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to: Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis Developing and applying
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pipelines for ML/AI models (TensorFlow/Pytorch) for multi-omics, cell screening, and drug-target affinity data from to achieve state-of-the-art performance. Build ETL pipelines for large datasets Documenting
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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through the tuition remission and dependent education programs. See the Benefits home page for more information. Position Summary The University of New Mexico, Health Sciences Center, Department of
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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community discourse and/or science civic engagement. The RAP will lead ongoing qualitative and quantitative data and manuscript development related to the NSF grant My Impact: Experiential Learning in a Large
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and
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on the U.S. energy sector. Our research seeks to inform public and private decision-making on issues such as electricity system planning, energy resources and delivery, new large loads, reliability
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in