United States

Assistant Professor, Statistics and Data Science– …, Youngstown

Assistant Professor, Statistics and Data Science– …, Youngstown
Description
Summary of Position This position is a joint hire between Youngstown State University (YSU) and Northeast Ohio Medical University (NEOMED) with Youngstown State University serving as the appointing institution. At Youngstown State University (YSU) teach undergraduate and/or graduate courses determined by departmental needs and individual expertise in statistics or data science. Pursue appropriate scholarship and participate in department, college, and university service activities. At Northeast Ohio Medical University NEOMED, lead the capstone course and related projects in the new Health Data Science and AI master’s degree program (students enrolling Fall 2026). Engage with the Clinical and Translational Research Institute (CTRI) and affiliated hospital partners to collaborate on healthcare-related AI projects and statistical analyses, aligned with research interests and institutional needs. Position Information Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources. An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives. As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education. Work Schedule: Typically, Monday through Friday, including some evenings, and the possibility of some weekend days. This position will require work at both YSU campus and NEOMED campus. Qualifications and Competencies Required Certifications, Training, and/or Licensures: None Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis. Minimum Qualifications: PhD in Statistics, Biostatistics, Data Science, or a related field earned or to be completed by the time of appointment.Preferred Qualifications: Strong interest in graduate scholarship, evidence of excellent teaching, and commitment to conducting scholarly research. Background in student mentorship, statistical consulting and data analysis, and the development and application of AI in health care settings. Althoughall areas of statistics and data science will be considered, preference will be given to candidates whose research area is biostatistics or health data science with experience in the use of AI in health care settings. Passionate about working with undergraduate and master level students on researchprojects and for participating in the YSU Data Mine. Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work. Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount offorce frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as Sedentary when walking and standing are required only occasionally, and all other Sedentary criteria are met. Supplemental Information Please upload all transcripts as one PDF file. At time of hire, all candidates must provide official transcripts. Official transcripts must be provided in an unopened, sealed envelope and must bear the embossed or raised college seal, date and Registrar’s signature.
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