Inside Higher Ed
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Scien
Inside Higher Ed, San Francisco, California, United States, 94199
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society
Position Overview Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following link for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf. 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. Application Window Open date:
June 9, 2025 Most recent review date:
Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time) Final date:
Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time) 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. 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. 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. 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 Principle and Techniques of Data Science Human Contexts and Ethics of Data Data and Justice Data, Inference, and Decisions Honors Thesis Seminar Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website. 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 C.V. Cover Letter Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. Reference Requirements 3-4 required (contact information only) Apply link:
https://aprecruit.berkeley.edu/JPF04958 Help contact:
cdss_ap@berkeley.edu 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). 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.
#J-18808-Ljbffr
Position Overview Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following link for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf. 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. Application Window Open date:
June 9, 2025 Most recent review date:
Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time) Final date:
Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time) 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. 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. 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. 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 Principle and Techniques of Data Science Human Contexts and Ethics of Data Data and Justice Data, Inference, and Decisions Honors Thesis Seminar Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website. 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 C.V. Cover Letter Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. Reference Requirements 3-4 required (contact information only) Apply link:
https://aprecruit.berkeley.edu/JPF04958 Help contact:
cdss_ap@berkeley.edu 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). 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.
#J-18808-Ljbffr