In this episode we speak with several health data analysts to better understand the role they play in research and, for all the researchers out there, discuss how to make the process as smooth as possible when working with an analyst.
Health data analysts are an elusive bunch in the wild. While we see their names periodically show up as middle authors on manuscripts or in the Acknowledgement section they work largely behind the scenes; yet they play a vital role in conducting research that use large data. In this episode we speak with Julie Strominger, Jonathan Martindale, and Mohammed Kabeto. Each work on productive research teams at the University of Michigan that study dementia, using a variety of different types of large pre-existing data.
Experience as a data analyst among them, range from being new to the field to more than 20 years of experience. They come from different backgrounds, and each have their own story for how they became a health data analyst.
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