Visiting Assistant Professor of Business Analytics

Location : Jackson Medical Mall, MS
Job Type: Full-Time
Job Number: 202400044
College/Division: College of Health Sciences
Opening Date: 12/12/2024
Closing Date: Continuous


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, LoudCloud, 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.

We offer a complete benefits package to full-time employees, including health care, dental, vision, retirement, deferred compensation plans, flexible spending accounts, life insurance, long-term disability, holidays, vacation, and sick leave.

Part-time employees who work 20 hours or more per week are eligible for the complete benefits package.


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