Brown University, Biostatistics Department, School of Public Health
Providence, RI, USA
The new faculty member will join a highly interdisciplinary Biostatistics faculty in the Brown University School of Public Health. Building on its methodologic and domain research strength in the analysis of large health care databases, causal inference, diagnostic imaging evaluation and radiomics, computational biology and bioinformatics, Bayesian methodology, research synthesis, and neuroscience, the Department is now emphasizing growth in research and educational activity in areas related to health data science prominent in modern biostatistics. These include machine learning and high-dimensional data; methods for spatial, network, and imaging data; and methods for working with real-world data from large electronic databases and real-world trials (e.g., adaptive designs). Biostatistics is a core member of the university-wide Data Science Initiative.
The Department teaches a growing number of students at all levels; undergraduate, Master’s, and PhD....