Lecturer - Department of Statistics - College of Computing, Data Science and Society

Position Overview The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department. Salary range Salary scales: The UC academic salary scales set the minimum pay at appointment. The current full‑time salary range for the Lecturer position is $70,977-$199,722. Starting salary will be commensurate with highest degree, past college‑level teaching experience, relevant industry experience and equity within the department. The current salary range for TSP positions is $1,455.90 - $3,440 flat rate per bootcamp taught. See the following table(s) for the current salary scale(s) for the Lecturer position: Percent time 11% - 100% Anticipated start We typically start reviewing applications for Fall and Summer courses in December, for Spring courses in August–September, however we encourage applications throughout the year as new needs may arise. Anticipated start date for TSP is summer 2026 or future semesters. Application Window Open date: July 1, 2025 Most recent review date: Tuesday, July 15, 2025 at 11:59pm (Pacific Time) Final date: Tuesday, June 30, 2026 at 11:59pm (Pacific Time) Position Description The Department of Statistics invites applications for temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below. Teaching Responsibilities STATISTICS 2: Introduction to Statistics STATISTICS C8: Foundations of Data Science STATISTICS 20: Introduction to Probability and Statistics STATISTICS 21: Introduction to Probability and Statistics for Business STATISTICS 33A: Introduction to Programming in R STATISTICS 33B: Introduction to Advanced R STATISTICS 88: Probability and Mathematical Statistics in Data Science STATISTICS C100: Principles and Techniques of Data Science STATISTICS 131A: Statistical Methods for Data Science STATISTICS 133: Concepts in Computing with Data STATISTICS 134: Concepts of Probability STATISTICS 135: Concepts of Statistics STATISTICS 150: Stochastic Processes STATISTICS 151A: Linear Modeling: Theory and Applications STATISTICS 153: Time Series STATISTICS 154: Modern Statistical Prediction and Machine Learning STATISTICS 155: Game Theory STATISTICS 159: Reproducible and Collaborative Statistical Data Science General Duties: Developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary. TSP appointments teach the Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. These bootcamps are short courses on one or more of the topic areas listed, typically taught in a 3‑week format in late July and early August. Qualifications Basic qualifications: Completion of a Master's degree (or equivalent international degree). Additional qualifications: Evidence of college‑level instructional experience. Preferred qualifications: Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field; documented experience in teaching Statistics or a related field at the college level. Application Requirements Document requirements: Curriculum Vitae – Most recently updated C.V. Cover Letter Statement of Teaching Philosophy and Experience Teaching Documentation – Teaching materials and/or student evaluations Copy of Transcript (Optional) Reference requirements: 2–3 reference letters (contact information only) Apply link: Help contact: View email address on click.appcast.io Job Location Berkeley, CA Equal Opportunity Employer The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's affirmative action and nondiscrimination policies. #J-18808-Ljbffr Inside Higher Ed