[Please Note: This session has already occurred. Go to the News Story for this event to read about what happened.]
The pharmaceutical industry provides interesting and challenging career and research opportunities for statisticians and data scientists. Is work in the pharmaceutical sector something that you would like to know more about? Then this session is for you!
NISS hosts Career Fair sessions that focus on academic positions, others on positions in government agencies and industry. This session will describe opportunities for statisticians/data scientists from three companies in the pharmaceutical industry. Attendees will be provided with an inside look at the research that statisticians in these companies get involved in and career opportunities for you to consider!
This session will begin with a brief presentation from Qiqi Deng highlighting career paths and opportunities in Moderna, followed by an overview of AbbVie by Nareen Katta. The agenda will continue with a panel from 12:30-1:30pm.
The Panel will address the following questions:
- What are the job opportunities for statisticians/data scientists/analysts in your company?
- Describe the range of skills statisticians/data scientists/analysts need to succeed in your company?
- What is the career path for statisticians/data scientists/analysts in your company?
- Is your firm currently hiring statisticians/data scientists/analysts?
- What advice would you give to students based on your experience?
(Check out earlier virtual career fair sessions!)
Qiqi Deng, Moderna
Nareen Katta, AbbVie
Tom Bradstreet, Bristol-Myers Squibb
Hannah Waddel, Emory University & NISS Graduate Student Network Executive Committee Member
Register Now on Zoom Here!
About the Panelists
Tom Bradstreet is Director, Preclinical Biomarkers & Discovery Biostatistics at Bristol-Myers Squibb (8 years). He emphasizes design-to-decision making statistical strategies while closely collaborating with, mentoring, and empowering preclinical scientists; primarily biologists and imaging experts. Tom’s current statistical interests are Bayesian statistics and statistical education. Previously, Tom was employed at Merck (32 years) contributing to Animal Safety Assessment, Experimental Medicine, Clinical Pharmacology, Modeling and Simulation, and Phase III clinical trials. He earned his undergraduate degree in Biology, Masters degrees in Biostatistics and Statistics, and his Ph.D. in Statistics.
Nareen Katta works as a Sr. Director and Head of Clinical Analytics at AbbVie. Nareen has over 20 years of experience in the pharmaceutical industry. In his current role, Nareen is responsible for building and executing the data science and advanced analytics strategy, that covers both Scientific and Business Operations, across Clinical Development, Precision Medicine and R&D. In addition to Clinical Analytics, Nareen is actively engaged in evaluating the opportunities created by the recent technology trends like big data, automation, AI, digital health etc. and strategically instantiating them at AbbVie to drive organizational transformation.
Qiqi Deng is a Director in Clinical Biostatistics at Moderna. She leads a group focusing on clinical development of public health and latent virus vaccines, as well as statistical research. Before joining Moderna, she worked in Boehringer Ingelheim for thirteen years, with seven years serving as leading statistician for multiple projects, across different clinical development phases and therapeutic areas. After that, she worked as a methodology statistician for six years, with focus on statistical methodology innovation globally. Her main research area includes hypothesis testing and modeling in dose finding, adaptive design, and pragmatic considerations in applying innovative methodology into real clinical studies. She publishes on wide array of statistical topics in her main area and beyond, e.g. multiplicity adjustment, Bayesian statistics. Dr. Deng received her bachelor’s degree in Mathematics from Peking University in China, and obtained her Ph. D. in Statistics from University of Minnesota.
About the Moderator
Hannah Waddel is a biostatistics PhD candidate at Emory University, in her fourth year. Her dissertation research focuses on infectious disease modeling, particularly for swine influenza. She has also conducted collaborative research in meta-analyses, nutrition, and cerebrovascular diseases. Hannah serves on the executive committee for the NISS Graduate Student Network. She received a BS in Mathematics from the University of Utah and an MS in Biostatistics from Emory University.
- NISS Hosted
- NISS Sponsored