Preferred Qualifications
It is not required that candidates meet any of the preferred qualifications to be considered for this position. The following skills represent some of the areas in which this position could potentially grow and focus, based on the incumbentβs background and interests. Experience with Python, R, and/or other programming languages for data transformation, analysis, and visualization Knowledge of instructional design and pedagogical principles for teaching data topics Knowledge of methods for evaluating user needs and assessing service/program effectiveness at meeting those needs Experience working in an academic library
Work Schedule
University Business hours are Monday - Friday 8AM - 5PM. The Libraries supports flexible work arrangements based on departmental and operational needs. This position will require frequent onsite work.