[Please Note: This event has already occurred. Go to the News Story to read about what happened and to access a recording and speaker slides.]
Interested in pursuing a career as a statistician at an academic institution? Then you won’t want to miss this next career fair sponsored by NISS that will offer essential information about job opportunities for statisticians/data scientists in different academic environments such as large research universities, biomedical institutions, and liberal arts colleges.
This event is the sixth in a series of Virtual Career Fairs that NISS is hosting for NISS Affiliates. This session features opportunities for statisticians/data scientists from three very differently situated academic departments. Senior statisticians from Williams College Department of Mathematics & Statistics, Duke University's Department of Statistics and the University of Michigan's Department of Biostatistics will be on hand to provide attendees with an inside look at the varying aspects of research, teaching and service that statisticians in these academic institutions get involved in and the career opportunities available for you to consider! This session will be moderated by Piaomu Liu (Bentley University).
Each presenter will have 20 minutes to address the following general topics:
- What are the preferred qualifications for a tenure-track faculty position in your institution?
- What are the potential distinguishing characteristics of candidates for a tenure-track faculty position in your institution?
- Is your institution currently hiring faculty positions?
- What advice would you give to students based on your experience?
Previous Virtual Career Fairs
The following Career Fairs have already taken place. Follow the link to review the advice from senior statisticians in a wide array of sectors!
March 11, 2020 "Career Paths Highlighted in Three Health Related Government Agencies"
February 19, 2020 "Advice and Insights Offered During Third NISS Industry Career Fair"
January 8, 2020 -"NISS Government Career Fair Outlines Opportunities for Statisticians!"
December 6, 2019 - "Opportunities in Banking & Marketing Sectors Highlighted in Virtual Career Fair"
September 26, 2019 - "NISS Virtual Career Fair for NISS Affiliates"
Please Note: Attendance at all career fairs is restricted to NISS affiliates only. You can check to see if your institution is a NISS Affiliate on the List of Affiliates NISS web page.
Students/Faculty (at all levels) from NISS Affiliate Institutions who may be interested in career opportunities in academia either now or in the future. The career fair may also be of interest to those who are considering a career change to work in academia.
To register for the virtual career fair, your organization needs to be a NISS affiliate. Please check the list of NISS affiliates to see if your organization is a NISS affiliate. If you qualify to register, please use your .edu, .gov or .com email address when registering.
While the live event is limited to NISS affiliates, NISS will subsequently make video recordings from the fair available to the public at its website (www.niss.org) under Events -> Meet-up Recordings at a later date.
The Career Fair will be conducted using Zoom. REGISTER TODAY!
The program for this virtual career fair will be organized as follows:
12:00-12:05 Opening remarks by the Moderator, Piaomu Liu, (Assistant Professor at Bentley University)
12:05-12:25 Richard De Veaux, (Chair of Mathematics & Statistics at Williams College)
12:30-12:50 Jerry Reiter, (Chair of Statistical Science at Duke University)
12:50-1:10 Bhramar Mukherjee, (Chair of Biostatistics at University of Michigan)
About the Speakers
Richard De Veaux is the C. Carlisle and Margaret Tippit Class of ’42 Professor of Statistics, and Chair, Department of Mathematics and Statistics, Williams College in Williamstown, Massachusetts. He is an applied statistician interested in data mining methodology and its application to problems in science and industry. He is also a statistics educator interested in understanding how statistical concepts are best communicated. Among his many professional accomplishments, he is the author of several introductory and business statistics textbooks, was elected Member of the International Statistical Institute, 2012, was named the Mosteller Statistician of the Year, 2008 by the Boston Chapter of the American Statistical Association and was elected Fellow of the American Statistical Association in 1998.
Jerry Reiter is Department Chair and Professor of Statistical Science of the Department of Statistical Science at Duke University. He graduated from Duke University with a BS in mathematics in 1992. After working for two years as an actuary, he got my Ph.D. in statistics from Harvard University in 1999. He landed back at Duke in the Department of Statistical Science in Fall 2002. Between 2010 and 2015, he was the Mrs. Alexander Hehmeyer Professor of Statistical Science, having been appointed as a Bass Chair in recognition of "excellence in undergraduate teaching and research." He was the recipient of the Alumni Distinguished Undergraduate Teaching Award for 2007 and recipient of the Outstanding Postdoc Mentor award for 2016. His research interests revolve around applications involving social science and public policy, his primary focus being mainly on statistical methods for protecting data confidentiality, for handling missing data, and for modeling complex data including methods for causal inferences.
Bhramar Mukherjee is John D. Kalbfleisch Collegiate Professor and Chair, Department of Biostatistics; Professor, Department of Epidemiology, Professor, Global Public Health, University of Michigan (UM) School of Public Health; Research Professor and Core Faculty Member, Michigan Institute of Data Science (MIDAS), University of Michigan. She also serves as the Associate Director for Quantitative Data Sciences, University of Michigan Rogel Cancer Center. She is the cohort development core co-director in the University of Michigan’s institution-wide Precision Health Initiative. Her research interests include statistical methods for analysis of electronic health records, studies of gene-environment interaction, Bayesian methods, shrinkage estimation, analysis of multiple pollutants. Collaborative areas are mainly in cancer, cardiovascular diseases, reproductive health, exposure science and environmental epidemiology. She has co-authored more than 200 publications in statistics, biostatistics, medicine and public health and is serving as PI on NSF and NIH funded methodology grants. She is the founding director of the University of Michigan’s summer institute on Big Data. Bhramar is a fellow of the American Statistical Association and the American Association for the Advancement of Science. She is the recipient of many awards for her scholarship, service and teaching at the University of Michigan and beyond.