The Department of Biostatistics at Brown University’s School of Public Health is seeking exceptional candidates doing research in biostatistics and data science as well as in domain research in the health sciences. Candidates for Associate or Full Professor should have a nationally and internationally recognized record of innovative methods research in biostatistics and data science, significant experience and track record in interdisciplinary research, and demonstrated leadership potential. Candidates for Assistant Professor should provide evidence of outstanding research potential, growing publications record and experience in interdisciplinary research. All candidates must show evidence of excellent oral and written communication skills and possess strong ability and interest in teaching and mentoring of students. The Department is committed to pursuing the goals of the Brown initiative for diversity and inclusion.
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 health data science. Biostatistics is a core member of the University’s Data Science Initiative.
The Department teaches a growing number of students at all levels, undergraduate, Master’s, and PhD and has recently added a health data science track to its Master’s program. The Brown School of Public Health and the broader University offer opportunities for substantial collaboration with world class researchers in the constituent disciplines of data science as well as in a broad range of domains, such as health care and policy research, neuroscience, computational biology, epidemiology, and behavioral sciences.
The Department is highly invested in maintaining an inclusive community of faculty and students and embraces diversity along its many dimensions—including race, ethnicity, sex, religion, socio-economic background, sexual orientation, gender identity, physical ability, and other aspects of identity.
Brown University is committed to fostering and maintaining a diverse work culture that respects the rights and dignity of each individual, without regard to race, color, national origin, ancestry, religious creed, sex, gender identity, sexual orientation, gender expression, height, weight, marital status, disability, medical condition, age, or veteran status. The University is also supportive of the needs of dual career couples.
Interested applicants should apply online at http://apply.interfolio.com/58821. Please upload the following: letter of application, a description of current and planned research, and updated curriculum vitae. Please indicate in your letter of application whether you are applying for Assistant, Associate or Full Professor. In addition, candidates for Assistant Professor should arrange for at least three letters of recommendation to be submitted through Interfolio. Brown University is committed to increasing diversity and inclusion of underrepresented groups. If there is additional information not included in your research and teaching statements that might help to demonstrate your contribution and commitment to diversity, equity and inclusion, we welcome you to share it in your cover letter. Application questions should be addressed to Denise Arver, Administrator, Department of Biostatistics, at Denise_Arver@brown.edu. Application review will start in December 2019. Applications received by this date will receive full consideration. Applications received after the priority deadline may be reviewed until the position is filled or the search is closed. For more information, please contact me by email at firstname.lastname@example.org or by phone at 401.863.6453.
Internal Number: PH228
About Brown University
The new faculty member will also become a member of 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 health data science. Biostatistics is a core member of the University’s Data Science Initiative.