The Department of Biostatistics at Brown University School of Public Health is seeking exceptional candidates with demonstrated commitment to statistical and health data science education and research for a new faculty position on the Teaching Scholar track. This appointment will be made at the level of Assistant Professor on a renewable term basis. In addition to classroom teaching and student mentoring, the new faculty member will be expected to participate in and potentially lead initiatives related to building a statistical and health data science education program, and to develop and use innovative approaches to statistical and interdisciplinary education.
The new faculty member will join the Biostatistics faculty in the Brown University School of Public Health. The department is actively engaged in methodologic and domain-area research in a variety of areas, with particular strength in the analysis of large health care databases, causal inference, Bayesian inference, diagnostic imaging evaluation and radiomics, computational biology, research synthesis, and neuroimaging. The Department is expanding its activities in research and education related to health data science and is an active member of the university's Data Science Initiative.
The Department teaches a growing number of students at the undergraduate, Master's, and PhD levels. The master's program includes a health data science track. 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 domain areas, such as health care and policy research, brain sciences, computational biology, epidemiology and behavioral sciences.
Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, race, color, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law.
Candidates must have a doctoral degree in biostatistics, statistics, data science or a closely related field and demonstrated excellence or potential in classroom teaching and student advising, together with interest and potential for engaging in statistical and interdisciplinary research. Experience in multidisciplinary educational programs is preferred. All candidates must show evidence of excellent oral and written communication skills and a commitment to fostering and maintaining an inclusive, diverse and equitable educational environment. The Department of Biostatistics is strongly committed to goals and principles of the Brown University Pathways to Diversity and Inclusion initiative (https://diap.brown.edu/plans-reports).
Please upload the following: letter of application, a statement on your teaching experiences, values and vision, a description of current and planned research, a diversity statement, and an 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 review will start shortly following the October 1, 2021 application deadline. All applications received by October 1st will receive full consideration. Applications received after the priority deadline may be reviewed until the position is filled or the search is closed. Application questions should be addressed to Denise Arver, Administrator, Department of Biostatistics, at Denise_Arver@brown.edu or Joseph Hogan, Professor and Chair, Department of Biostatistics, at email@example.com
Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers qualified applicants for employment without regard to, and does not discriminate on the basis of, gender, race, color, national origin, sexual orientation, religion, protected veteran status, disability, or any other legally protected status.
Internal Number: 89452
About Brown University
Located in historic Providence, Rhode Island and founded in 1764, Brown University is the seventh-oldest college in the United States. Brown is an independent, coeducational Ivy League institution comprising undergraduate and graduate programs, plus the Alpert Medical School, School of Engineering, School of Public Health, Executive Master of Healthcare Leadership and the IE Brown Executive MBA.