Position overview
Salary range: The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.
Percent time: Percent time 10% to 100% time
Anticipated start: Positions typically start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window
Open date: March 4, 2026
Most recent review date: Thursday, Mar 19, 2026 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: Thursday, Mar 4, 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
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.
Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.
Please Note:
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.
The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.
We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.
If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.
The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.
Responsibilities Include:
Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.
Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.
Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.
Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.
Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.
Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.
Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.
Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Please note:
The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.
UC Berkeley has several policies and programs to support all employees as they balance work and family.
Program : http://datascience.berkeley.edu
Policies and Programs to Support All Employees : https://ofew.berkeley.edu/support-faculty/family-responsive-policies-benefits-programs-and-resources
Course Descriptions : https://www.ischool.berkeley.edu/courses/datasci
Qualifications
Basic qualifications (required at time of application)
A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start)
Minimum 4 years of professional experience in the relevant field.
Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.
Preferred qualifications
An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.
10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.
Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.
Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.
Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.
Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.
Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.
Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.
Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):
Applied Cloud Computing for Data Science
Applied Machine Learning
Applied Statistics(R)
Capstone Projects - real-world projects and industry collaboration
Computer Vision
Data Visualization and Communication
Deep Learning and Neural Networks
Edge and IoT Data Science
Experiments and Causal Inference
Fundamentals of Data Engineering
Generative AI
Introduction to Data Science Programming (Python)
Leadership in Data-Driven Transformation
Machine Learning at Scale
Machine Learning Systems Engineering
Natural Language Processing with Deep Learning
Privacy, Security, and Ethics in Data Science
Regression and Time Series Analysis
Research Design and Data Analysis
Scalable Data Mining and Analysis
Statistical Methods for Discrete Response, Time Series, & Panel Data
Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.
The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.
Please indicate which class(es) you believe you are qualified to teach.
Teaching Evaluations, if available (Optional)
Reference requirements
3 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF05270
Help contact: [email protected]
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.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
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.
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA, or remote (US-based).
To apply, visit https://aprecruit.berkeley.edu/JPF05270
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