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Quantifying healthcare innovation impact throughout entrepreneurial ecosystem adsa
IAP and Spring
Healthcare hackathons and other early-stage innovation events have resulted in teams and ventures that go on to be extremely successful. MIT Hacking Medicine has run healthcare entrepreneurship events around the world over the past 10 years amassing data from over 200 events. Collectively, this repository of data reflects the state of healthcare in a specific region at a specific point in time. We are looking for an undergraduate researcher to develop methods to track healthcare innovations, and analyze this in the context of macro healthcare and entrepreneurship trends. This will be a valuable experience for data analysts interested in working together with senior healthcare professionals and learning more about the complex healthcare space. An ideal student would be familiar with databases, data analysis techniques data mining, natural language processing (NLP) methods, phrase mining and topic modeling techniques to apply them to this data set and ascertain trends/associations.
Basic proficiency in databases, data analysis and data mining, natural language processing (NLP) methods, phrase mining or topic modeling techniques is preferred. We will give preference to candidates who can commit to working at least 12 hours per week during the academic year. The position is available starting immediately.