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Over the past several years, the term “Data Science” has emerged in popular media and has become a common phrase for employers and job seekers alike. It appears that unlocking value from a tsunami of data — be it human or machine-generated — is the challenge facing organizations, especially in the healthcare sector. Many UChicago graduate students and postdocs have quantitative skills from their training but are unsure about how it will translate beyond the academic setting. This panel will explore data-intensive roles specifically in the healthcare field to illuminate a few of the options available to advanced-degree scholars.
Katie Iguarta, Director of Computational Biology, Tempus (PhD, Human Genetics, University of Chicago)
Robert McElherne, Senior Manager, PBM Analytics (MS, Analytics, University of Chicago, 2016)
Robert has been leading analytic engagements in the healthcare space for the past three years. Currently, he manages a team that provides analytics and data science solutions, which drive contracting strategies with pharmacies. Previously, he was utilizing optimization methodologies to build high performing physician networks. Prior to Humana, Rob spent six years developing supply chain analytics in the pharmaceutical & chemical industries.
Kamiya Sargoch, Associate Data and Analytics Modeler, KPMG (MS, Bioinformatics, University of Chicago; MBA, Symbiosis International University)
Kamiya is an associate Data and Analytics Modeler at KPMG. She was earlier with Marsh & McLennan, a professional services firm where she worked in healthcare risk management services when she decided to augment her skills in data analytics within the healthcare space. Interning with Avia Health Innovation in Chicago during her masters at UChicago lead her to join the Healthcare Data and Analytics team at KPMG.
Vishal Soni, Associate Data Scientist, Blue Cross Blue Shield of Illinois (PhD, Physics, University of Chicago)
Greg Green, Executive Director of MScA Program, UCPE/Graham
Please register for the event. Zoom details will be shared with registrants a day prior to the event.