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

Overview Position overview Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for the Lecturer position: 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. 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. Position description 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. We hire a number of qualified professionals and academics to hold 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: General duties include 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 (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a "+ bootcamp" 3-week format in late July and early August. Additional information Department : Division : To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit: Statistics Course Descriptions : Qualifications Basic qualifications (required at time of application) The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree). Additional qualifications (required at time of start) Additional qualifications include 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 - Your 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 required (contact information only) Apply link: Help contact: View email address on click.appcast.io About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. 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 in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. Misconduct means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. 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