Lecturer or Senior Lecturer, Mathematics

All positions are in-person at the University of Arizona main campus in Tucson.

This is an academic-year, non-tenure track teaching appointment. After an initial probationary period, multi-year contracts will be available, pending performance review. The Lecturer series of titles includes Lecturer, Senior Lecturer, and Principal Lecturer, and there is opportunity for career progression and growth within this career track. Expected starting salary is approximately $60,000 to $70,000 (9 months) depending on experience and qualifications.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

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• The primary responsibility is to teach in-person statistics and data science courses across the range of the undergraduate curriculum, as needed by the department.
• Incumbents are expected to participate in various departmental activities, such as tutoring and mentoring programs. Full-time appointments usually require teaching 6-9 credit hours each semester, depending on course demands and departmental needs.
• After the first year, it is expected that incumbents will serve as a faculty advisor to several SDS undergraduate majors.
• Additional responsibilities include attendance at all appropriate course meetings, faculty meetings, committee meetings, and related professional development sessions.
• There is a possibility of teaching in the summer for additional compensation, depending on availability of classes.

• Master's degree in statistics or closely related field, with a strong background in coursework that aligns with our undergraduate curriculum.
• Significant experience teaching in a university or college setting.
• Working knowledge of the content areas of probability, statistical methods, generalized linear models, and statistical computing.

• Experience suited to teach the full range of undergraduate courses in statistics/data
  science.
• Experience teaching online courses.
• Experience with curriculum development at the undergraduate level.
• Experience teaching undergraduate courses in large format (100+ students).