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descriptive statistics for database participants Complete complex analyses of large EHR data to support study aims Disseminating results (20%): Prepare tables, charts, and graphs for publications, presentations
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of life, embracing inclusion, making a difference, and having fun. Duties & Responsibilities: System Design and Development Design, develop, and maintain large-scale database systems, integrations, and data
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, using Big Data and machine learning. The Research Scientist / Engineer 2 (RS/E 2) will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a very
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paper preparation. - 5% surgical preparations including implantation of head plates, craniotomies - 20% data collection including large scale recording with widefield imaging and with neuropixels
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maternal metabolism in pregnancy. The position involves analysis of large-scale genomic data, including genome-wide association studies (GWAS), computation of genetic risk scores, and integrative modeling
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Job Description OVERVIEW: The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research
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, using Big Data and machine learning. The Temporary Research Scientist / Engineer 3 (RS/E 3) will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a
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involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias. Overall
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labs. Job Description Primary Duties & Responsibilities: Collect and analyze large data sets related to genetics and psychiatry. Conduct longitudinal and other statistical analyses. Collaborate with
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. This position will work off-site at Fred Hutchinson Cancer Center at least 3 days per week. This position provides high-level project design, statistical programming, and data analysis support for large multi