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UCLA's Life Sciences Core Education Department invites applications for an Academic Administrator (non-tenure track). This full-time, two-year appointment will teach LS7C (Human Biology & Physiology) once per quarter and coordinate course activities, syllabus, calendar, exams, and outcomes to support student success.
The successful candidate will mentor TAs, collaborate with faculty, use evidence-based teaching, and apply data to improve retention. A Ph.D.
The Life Sciences Core Education Department at UCLA invites highly qualified applicants for an Academic Administrator position. Academic Administrators serve as instructors and course coordinators and are non-tenure track faculty. This Academic Administrator will teach and coordinate one of our introductory biology courses, LS7C (Human Biology & Physiology). They will teach one section of LS7C per quarter in addition to providing logistical and managerial support for this course. This Academic Administrator will join, through our department, a community of faculty that teach other introductory biology or mathematics courses to our life sciences majors at UCLA. This position will report directly to the chair of our department. Our courses collectively serve over 3000 diverse students per year and have been successful in retaining these students in their life science majors. Professional development options are available to the candidate at UCLA and through programs such as SABER. This Academic Administrator is a full-time, two-year contract position (with possibility to extend) with a salary range of $94,078 to $103,440, commensurate with experience. Full benefits are included.
Qualified candidates must have a Ph.D. in a life science discipline relevant to the curriculum of LS7C (Physiology and Human Biology) and have university-level experience in teaching undergraduates. In addition, the successful candidate should have experience with evidence-based teaching practices, strong interpersonal and communication skills, and strong administrative skills. Additional preferred skills in this position include experience in data analysis to support student learning and retention, the ability to assess and respond to students’ and instructors’ experiences and show a commitment to help diverse students learn.