Assistant Professor of Biostatistics, Tenure Track

  • Brown University, Biostatistics Department, School of Public Health
  • Providence, RI, USA
  • Oct 23, 2020
Full time   Biology/Biotechnology/Life Sciences Health Sciences, OT, PT, Kinesiology Mathematics & Statistics

Job Description

 

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. 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.

Preferred and Required Qualifications

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 should have an excellent training background, a growing publications record, outstanding potential for innovative methods research, and capacity for interdisciplinary research.  Candidates must show evidence of excellent oral and written communication skills and possess a strong commitment to teaching and interest in mentoring students.   The Department is committed to pursuing the goals of the Brown initiative for diversity and inclusion.

Application Details

Interested applicants should apply online at http://apply.interfolio.com/80229.  Please upload the following:  letter of application, description of current and planned research, teaching statement, diversity statement, and updated curriculum vitae. In addition, candidates 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. In your diversity statement, please address how your past and present work demonstrates a commitment to diversity, equity and inclusion, and how you intend to continue your commitment to diversity in future work. We value the different ways this might be demonstrated through scholarship, teaching, mentoring, service and community engagement.

Application questions should be addressed to Denise Arver, Administrator, Department of Biostatistics, at Denise_Arver@brown.edu. 

 

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Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at Brown University and at other institutions of higher education in the region on www.AcademicCareers.com

Application Deadline

Priority deadline is December 4, 2020. 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.