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techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in the position and be passionate about scientific investigation to advance cancer
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work, designing rigorous analytical plans to test these hypotheses, lead the necessary data collection and analyses, writing manuscripts and grant applications, and presenting at local, national and
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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organization and maintenance of a large clinical database Support analysis for scientific presentations and quality improvement projects Present outcome data to other clinicians, collaborating sites, and at
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associate will have the opportunity to take on leadership and key analytic roles in our neuroimaging studies of early-stage and clinically heterogenous neurodegenerative disorders. Our lab uses a multimodal
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performance Solid understanding of research design and experience with data collection and field work and excellent attention to detail Proven analytical skills and proficiency in Stata and/or R; experience in
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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postdoctoral position at the interface of decision analytic modeling, pharmacoepidemiology and clinical hematology-oncology within the Section of Medical Oncology and Hematology, Department of Internal Medicine