Jennifer Schumi, Ph.D., worked at Statistics Collaborative, Inc. (SCI) from 1999 to 2001, left to attend graduate school at the Harvard School of Public Health, and rejoined the company in 2006. She is a member of the American Statistical Association, the International Biometric Society (Eastern North American Region), and the Society for Clinical Trials.
Since 2006, Dr. Schumi has acted as the independent reporting statistician to Data Monitoring Committees (DMCs), overseeing multi-study development programs in cardiology, oncology, and infectious diseases. She has supported a cardiovascular development program engaging multiple DMCs, ranging from oversight of early-stage mechanistic studies to pivotal outcomes trials. She also has served as the DMC member statistician for several Phase 1, 2, and 3 government and industry-sponsored trials of novel treatments in areas such as cardiovascular disease, diabetes, infectious diseases, and neurologic disorders.
Dr. Schumi provides statistical consulting to a range of small and mid-sized pharmaceutical clients developing treatments for cardiovascular disease, infectious diseases, neurologic disorders, oncology, and pain. She has written, reviewed, and contributed to statistical analysis plans for a variety of projects ranging from registrational trials to post-approval meta-analyses. She provides general consultation on sample size, protocol design, development of analysis plans, and other statistical issues to SCI’s clients. Some of her work includes participation in mock FDA advisory committee panels. She has a special interest in the statistical challenges posed by missing data and non-inferiority designs.
Since 2009, Dr. Schumi has also represented SCI as its Director of Business Development. In this role, she is an initial point-of-contact for potential clients, providing information about SCI’s services and expertise, as well as delivering presentations on SCI’s capabilities and contributing to proposals and budgets.
She received her B.A. cum laude in Mathematics from Williams College (1997), her M.S. in Statistics from Iowa State University (1999), and her Ph.D. in Biostatistics from Harvard University (2006). Her dissertation, titled “Resampling-Based Methods for Multiple Hypothesis Testing,” dealt in part with the analysis of HIV genotype data.