Lecturer or Senior Lecturer, Mathematics

Position Highlights

The Department of Mathematics at The University of Arizona seeks highly qualified, experienced candidates for the position of Lecturer or Senior Lecturer in Statistics/Data Science. The primary role of these faculty members is to create an engaging and meaningful learning experience for students in statistics and data science courses across the undergraduate catalog. We are looking for individuals who are dedicated to providing high quality instruction and who will bring enthusiasm and expertise to this endeavor. This position offers an excellent opportunity to work with other faculty to contribute to and be part of an innovative teaching and learning environment, and to help develop effective curricula for our Statistics and Data Science degree programs.

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.

This career-track appointment is not eligible for tenure.

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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Duties & Responsibilities

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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).

Rank: To be Determined

Tenure Information: Career-Track (CT)

FLSA: Exempt

Full Time/Part Time: Full Time

Number of Hours Worked per Week: 40

Job FTE: 1.0

Work Calendar: Academic

Job Category: Faculty

Benefits Eligible: Yes - Full Benefits

Rate of Pay: DOE

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates

Ali Gaona
agaona@arizona.edu

Open Until Filled: Yes

Documents Needed to Apply:

Resume, Cover Letter, and One Additional Document

Special Instructions to Applicant

Applicants should submit the following items:

• Cover letter of interest
• Resume
• Names of three professional references with contact information

Initial interviews will be conducted by Zoom after a preliminary review of applicants.