Heersink School of Medicine-Instructor (Data Science) Bookmark this Requisition Print Preview | Apply for this Job Posting Details Position Information School/College School of Medicine Title Heersink School of Medicine-Instructor (Data Science) Assignment Category Full-Time Rank Instructor Tenure Status Non-Tenure Track Payroll Status Faculty 12 Job Description We are seeking a highly motivated and skilled
Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve
creating a team of PhD students, Post-Doctoral Fellows, and junior faculty. Initial Responsibilities: Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization,
predictive analytics, data warehousing, artificial intelligence, and other complex methods. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients. Mentorship: Mentor and train junior staff,
faculty, and trainees, fostering a collaborative and educational environment. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in
understanding published research. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration. Transitioning Responsibilities: Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing
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