Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society

Overview Position overview Salary range: The UC academic salary scales set the minimum pay at appointment. The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience. Percent time: 15% to 100% Anticipated start: Positions usually start in July or August for Fall, January for Spring and June for Summer. Review timeline: Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application. Open window Open date: June 9, 2025 Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time). Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time). Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit. About DSUS Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs—including the Data Science major and minor—with a wide-reaching impact both across UC Berkeley and beyond. Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster. DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity—and the capacity to respond to social challenges. DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Responsibilities DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education. Core courses include: Fundamentals of Data Science; Principles and Techniques of Data Science; Human Contexts and Ethics of Data; Data and Justice; Data, Inference, and Decisions; Honors Thesis Seminar Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines (e.g., neuroscience, legal studies, public health, demography, English). Course design and syllabus will leverage the sequence of computational and statistical techniques learned in Foundations. Teaching a Data Science course may include holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), providing clear and prompt feedback on student work, and maintaining the course website. Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time. Qualifications Basic qualifications (required at time of application): Must have an advanced degree or be enrolled in an advanced degree program at the time of application. Additional qualifications (required at time of start): Advanced degree. Candidates must already be authorized to work in the United States. Preferred qualifications : A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred. Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Application Requirements Document requirements Curriculum Vitae - Your most recently updated CV. Cover Letter Statement of Teaching - Discuss prior teaching experience, teaching approach, and future teaching interests, including efforts and plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Reference requirements 3-4 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. 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. Contingent disclosures : 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. This includes: mis conduct related to sexual harassment, sexual assault, or other harassment or discrimination. See UC Sexual Violence and Sexual Harassment Policy; UC Anti-Discrimination Policy; APM-035. Job location: Berkeley, CA #J-18808-Ljbffr University of California, Berkeley