Data Science & Automation Driving Research Science Forward

This white paper podcast is part of DIA’s White Paper Library.



In clinical research, only one thing is guarded as carefully as the patient – and that is the data that patients help generate. For biometrics clinical research organizations, developing and integrating a data science and automation department into operations is a critical component of modern trial management. How are advances in data science changing research science?

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Dale Usner v2.jpg

Dale Usner
Chief Scientific Officer and Senior VP of Strategic Scientific Consulting
SDC
Jim Townsend v2.jpg
Jim Townsend
Senior VP of Business Development
SDC
In clinical research, only one thing is guarded as carefully as the patient – and that is the data that patients help generate. For biometrics clinical research organizations, developing and integrating a data science and automation department into operations is a critical component of modern trial management. How are advances in data science changing research science? “We all recognize clinical trial data hosts a wealth of information, and data science allows us to analyze and present this information enabling us to make more efficient decisions around our protocol development and study execution,” explains Dale Usner, Statistics & Data Corporation (SDC) Chief Scientific Officer and Senior VP of Strategic Scientific Consulting, in this Q&A with SDC Senior VP of Business Development Jim Townsend. “Analyzing historic and current information will be a real benefit towards enabling a robust protocol to be built and executed more expeditiously while retaining high quality.”

Dale Usner v2.jpg
Jim Townsend v2.jpg
Dale Usner
Chief Scientific Officer and
Senior VP of Strategic Scientific Consulting
SDC
Jim Townsend
Senior VP of Business Development
SDC

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