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NISS virtual career fair 12:00 and 1:45 pm EDT on Thursday September 26.

  • 1.  NISS virtual career fair 12:00 and 1:45 pm EDT on Thursday September 26.

    Posted 09-19-2019 13:38

    NISS is hosting an affiliates-only virtual career fair between 12:00 and 1:45 pm EDT on Thursday September 26.

    The virtual career fair will use the Zoom conference platform and features presentations from NISS industry affiliates of Google, Merck, Minitab, RTI, and SAS. The primary audience will be students (at all levels) in academic affiliates who are interested in exploring career opportunities in industry. The career fair could also be of interest to colleagues in NISS affiliates who are pondering a possible career change.

    The program for the fair is given below.

    12:00-12:05        Opening remarks and Moderator

                               Sam Woolford, Director, Center for Quantitative Analysis,

                                    Bentley University

    12:05-12:20        Tim Hesterberg, Senior Statistician

                                   Google

    12:20-12:35        Dan Holder, Executive Director, Biostatistics and Research Decision Sciences

                                    Merck

    12:35-12:50        Yanling Zuo, Senior Advisory Statistician

                                   Minitab LLC

    12:50-13:05        Fang Chen, Director, Advanced Statistical Methods

                                   SAS Institute

    13:05-13:20        Steve Cohen, Vice President, Statistical and Data Sciences

                                   RTI International

    13:20-13:45        Q&A  Moderator Sam Woolford                     

     

    Each presenter will address the follow topics:

    1. What are the job opportunities for statisticians in their organization?
    2. Describe the range of skills statisticians need to succeed in their organization.
    3. What is the career path for statisticians in their organization?
    4. Is their organization currently hiring statisticians?
    5. What advice would they give to students based on their experience?

    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 sign up using this link with your institutional email address such as .edu, .gov, or your-company.com.

    This live event is limited to NISS affiliates; however, if you cannot attend the live event, you may still register with your affiliate institutional email and we will send you an invitation to view the recording of the event immediately afterward.  Members of the public will be given access to the event later on the NISS archive: Events->Meet-up Recordings.

    We invite members from NISS affiliate organizations to join us at this first virtual career fair.

    Sam Woolford, NISS Affiliates Committee

    About the presenters:

    Tim Hesterberg, PhD, is a Senior Statistician at Google.  He previously worked at Insightful (S-PLUS), Franklin & Marshall College, and Pacific Gas & Electric Co. Tim is author of the "Resample" package for R and primary author of the "S+Resample" package for bootstrapping, permutation tests, jackknife, and other resampling procedures. He is co-author of the book on "Mathematical Statistics with Resampling and R" (2001). Tim serves on the executive committee of the National Institute of Statistical Sciences and the Interface Foundation of North America (Interface between Computing Science and Statistics).

    Dan Holder, PhD, is an Executive Director of Biostatistics and Research Decision Sciences at Merck. He joined Merck in 1988 and moved to the pre-clinical area in 1992. He currently heads a department that supports modern technologies often employing machine learning and other data science methods. The department also supports more traditional statistical areas such as assays, safety assessment, and animal models. Dan has co-authored more than 80 papers in scientific journals including the New England Journal of Medicine, Journal of the American Medical Association, Nature Biotechnology, and the Journal of the American Statistical Association.

    Yanling Zuo, PhD, is a senior advisory statistician at Minitab LLC. Yanling has been the lead statistical designer of Minitab Statistical Software (MSS) since 2006. As an expert in statistical methodology, she has partnered with MSS product managers and led the efforts of proposing statistical feature development plans for every MSS release since release 15. Since joining Minitab, Yanling has designed/enhanced more than 60 new and existing statistical commands inside MSS. She has written/reviewed several dozens of technical papers for MSS users. Yanling's current research interests are Statistical Computing, Tree-Based Methods, and Bayesian Statistical Modeling.

    Fang Chen, PhD, is a Director of the Advanced Statistical Methods Department at SAS. Among his responsibilities are the development of Bayesian analysis software and the MCMC procedure. Fang also oversees software development in various mixed models, nonlinear models, causal inferences, survival analysis, Bayesian hierarchical models, and discrete choice models.

    Steve Cohen, PhD, is Vice President of Statistical and Data Sciences at RTI International. He directs over 100 statisticians, biostatisticians, data scientists and methodologists engaged in programs that include education, international, social, health and behavioral statistics; data science; statistical methodology and data analytics. Steve has authored over 150 journal articles and publications in the areas of biostatistics, survey research methodology, estimation, survey design and health services research. He is co-author of the text, Methodological Issues for Health Care Surveys. He is a Fellow of the American Statistical Association and an Elected member of the International Statistical Institute.

     



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    James Rosenberger, Director
    National Institute of Statistical Science
    Professor Emeritus of Statistics
    Pennsylvania State University
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