Visiting Assistant Professor of Business Analytics

Description

The Public Health Informatics Technology (PHIT) Program in the College of Health Sciences is accepting applications for its Visiting Assistant Professor of Business Analytics position. This non-tenure position includes teaching graduate-level courses in Business Analytics and Project Management. Faculty will coordinate students' capstone opportunities and will be expected to make substantial contributions to teaching, research/scholarly activities, and service.

Examples of Duties

* Provide results-driven outcomes as a facilitator of graduate courses.

* Integrate hands-on learning opportunities through practices and discovery-based learning strategies that address real-world problems.

* Implement 21st-century technology-enhanced learning strategies that improve students' opportunities, academic achievement, and job preparation.

* Collaborate with external stakeholders to develop partnerships to secure funding opportunities.

* Promote, develop, and teach courses for Business Analytics, Data Science, and/or Project Management.

* Using various Learning Management Systems and Platforms (Canvas, Loud Cloud, Angel, D2L, Blackboard and Module).

* Participation in program events such as:
Orientation, Graduation, Students' celebrations, Faculty/Staff Retreats, and other general events.

* Work cooperatively and collegially within a diverse environment.

* Conduct training workshop and support PHIT goals and objective.

* Perform other duties as assigned.

Typical Qualifications

* Must have a Ph.D. in Business Analytics, Econometrics and Statistics, Project Management , Supply Chain Management, or related degrees.

* Professional proficiency with data analytics software, such as R, Python, Tableau, etc., is required.

* Demonstration of positive teaching experiences teaching data/quantitative methods/statistics.

* Experience in curriculum delivery and development.

* Experience teaching courses at graduate levels preferred.

* Demonstration of scholarly contributions through refereed journal publications and other intellectual contributions in business analytics.

* Candidates with strong evidence of scholarship in Artificial Intelligence/Machine Learning or other emerging topics in analytics are encouraged to apply.

* Demonstrated ability to conduct independent and interdisciplinary funded applied research.

* Preference is for candidates with Ph.D.'s with a demonstrated and ongoing record of impactful research in Business.

* Analytical candidates who have strong industry engagement and proven ability to link theory and practice in their area(s) of expertise.

* Strong commitment to strategic thinking.

* Excellent verbal and written communication skills.