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datasets, and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics and bioinformatics tool. A primary role will be contributing
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applied to forest ecology or ecosystem process studies, statistical and visualization skills, and integration of multiple datasets.--Strong oral and written communication skills including demonstrated
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development, and advance personalized medicine. Required Qualifications 1. Ph.D. in Biomedical Sciences, Bioinformatics, Human/Statistical Genetics, Neuroimaging, Neurosciences, or a related field (with an
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an academic or research setting, would be an asset Understanding and facility with statistical concepts/analyses in biological/clinical contexts, preferably with statistical programming experience in R and/or
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related field. Clinically trained individuals with an MD or equivalent degree also preferred be considered, particularly if possess additional epidemiology /statistical training (MS, MPH). 2. Strong
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). Verify safety data in the proposed drug label, clinical study report, and integrated summary of safety. Lead meetings with clinical and statistical reviewers; present results from data quality assessments
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learning techniques and data science principles (2+ years) Solid statistics knowledge Desire to work in a collaborative, team environment Desire to learn the latest machine learning technologies and put them
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) and statistical learning (supervised vs unsupervised ). Both junior-level and established scientists are encouraged to apply. The NGI highly encourages applications from women and underrepresented