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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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that includes the use of high-dimensional approaches such as mass cytometry (CyTOF), scRNAseq and ATACseq. The Computational Biologist will develop and apply state-of-the-art statistical and computational methods
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statistical analysis tools, and options for data visualization. Duties include: Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). Supervise, coach and mentor a
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documentation. Select appropriate statistical tools for addressing a given research question. Implement data analysis through statistical programming. Present results for investigators using graphs and tables
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of data in healthcare and biomedical research, our faculty, students, and staff investigate and create novel computational, statistical, organizational, and decision-making methods. Our research advances
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eliminate root cause for data problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and
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problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Serve as a
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to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and
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participation in working groups. Candidates must have a PhD in epidemiology, statistics, applied mathematics or a related field, a strong background in computational techniques and programming, and at least one
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upon completion of trial activities. Assist with post-study activities, as needed. Maintain the lab homepage and lab wiki. Apply formulas and calculations to research data using basic statistical