Hosted by the Graduate Education SIG
Techniques for managing and analyzing large data sets has emerged as a critical skill set that spans most, if not all, areas of pharmaceutical sciences. Graduate programs across the academy are grappling with determining which aspects of data science need to be delivered to trainees, and how to best do so. This webinar will address these and other aspects of data science as graduate education in the pharmaceutical sciences evolves towards the future, focusing on how to best prepare trainees for their future careers.
Objectives
- Identify the elements of data science and how they apply to the diverse spectrum of fields within pharmaceutical sciences.
- Synthesize ideas for best practices of how to deliver data science concepts and analyses to pharmaceutical sciences graduate students.
- Discuss the market demand for data science skill sets and how this can dictate the delivery of training in these concepts.
Moderator
Tyler Varisco, PharmD, PhD
Research Assistant Professor
University of Houston College of Pharmacy
Presenters
Hemalkumar Mehta, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health
Rajender Aparasu, PhD
Professor and Chair
University of Houston College of Pharmacy
Spencer Harpe, PharmD, PhD
Professor
Midwestern University College of Pharmacy
John Bentley, PhD
Professor
University of Mississippi School of Pharmacy
Jacob McPherson, PharmD
PhD Candidate
University of Houston College of Pharmacy