NISS Virtual Industry Career Fair for NISS Affiliates!

September 26, 2019 12:00 - 1:45 EDT

Attention Job Seekers!

Are you on the job market?  Or, is it time that you began thinking about next steps?

NISS has put together a low-stress, informative and conversational event with a handful of prospective employers in fields related to statistics. 

NISS has invited experienced, senior statisticians from a variety of companies to talk about the job opportunities that currently exist and advice for how you go about finding a position that best fits you.

Intended Audience:  Students/Faculty (at all levels) from NISS Affiliates Institutions who may be interested in learning about employment opportunities in industry either now or in the future!

The Career Fair will be conducted using Zoom.   Register Today!  

Affiliates - Please use your .edu, .gov or .com email address when registering.

Companies Represented

Google – A global organization having office locations around the world, the organization continues to focus on developing its proprietary algorithms to maximize effectiveness, ensuring that people access the information they need.

Merck Research Laboratories – Merck has a long history of discovering and developing medicines and vaccines that help to improve or save lives. They pursue new disease targets, new types of medicines and vaccines, and new models for developing the next generation of therapeutic breakthroughs.

Minitab - Minitab helps companies and institutions to spot trends, solve problems and discover valuable insights in data by delivering a comprehensive and best-in-class suite of data analysis and process improvement tools.

RTI International – An independent, nonprofit research institute dedicated to improving the human condition, clients rely on RTI International to answer questions that demand an objective and multidisciplinary approach — one that integrates expertise across the social and laboratory sciences, engineering, and international development.

SAS – Through innovative solutions, SAS helps customers improve performance and deliver value by making better decisions faster. The SAS statistical software is used within universities, government agencies, and businesses in markets ranging from pharmaceutical and life sciences to retail and financial services.

Each company representative will have 15 minutes to address the follow topics:

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


The program for the NISS Virtual Career Fair is organized as follows:

12:00-12:05        Opening remarks (Sam Woolford, Director, Center for Quantitative Analysis, Bently University)

12:05-12:20        Google (Tim Hesterberg)

12:20-12:35        Merck (Dan Holder)

12:35-12:50        Minitab (Yanling Zuo)

12:50-13:05        SAS (Fang Chen)

13:05-13:20        RTI (Steve Cohen)

13:20-13:45        Q&A Session for comapny representatives

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.

Event Type


National Institute of Statistical Sciences


National Institute of Statistical Sciences


FREE! Supported by your affiliate fee.


Virtual Meet-up
United States
represented company logos