Data Science Lecturer
The School of Information seeks applications for a pool of part-time, non-tenure track lecturers to teach courses in data science. We are seeking outstanding lecturers who can teach 15-person sections in our web-based master’s program in data science (datascience.berkeley.edu).
Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the school. Positions typically start in January, May, and August, and appointments may be renewed based on need, funding, and performance.
In addition to teaching responsibilities, general duties include holding office hours, assigning grades, advising students, and preparing course materials.
The minimum qualifications required to be an applicant is an advanced degree (master's or Ph.D. or equivalent degree) or at least five years of relevant professional experience in a technical, social science, or interdisciplinary field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics required at time of application.
The Data Science Lecturer will have teaching experience in at least one of the following core areas:
- Research design and data analysis
- Exploring and analyzing data (applied statistics)
- Storing and retrieving data
- Visualizing and communicating data
- Applied machine learning
- Privacy, security, and ethics of data
- Field experiments and causal inference
- Very large scale data mining and analysis
- Applied regression and time series analysis
Preferred qualifications include: a record of superior academic or professional performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.
The full-time annual fiscal-year salary range is $61,930 to $162,227. The School of Information generally hires lecturers for appointment at 17% to 35% time on a semester basis.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. If the candidate has made contributions to this area, we recommend they submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.
Applicants should submit a Cover Letter, a Curriculum Vitae, a Statement of Teaching Interests/Experience/Approach, and provide contact information only for three (3) references. Please indicate which MIDS class(es) you are qualified to teach in the Statement of Teaching Interests/Experience/Approach. Optionally, applicants may provide a Statement of Research and up to three (3) PDF copies of recent publications, as well as a Statement of Contributions to Diversity (statement addressing past and/or potential contributions to diversity through teaching or other related areas).
Letters of reference will only be solicited for finalists. 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 (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
This pool will remain open until March 11, 2019 to accommodate course needs and new applicants. Appointments are made for three semesters per year: fall, spring, and summer. If you wish to remain in the pool after March 11, 2019 you will need to reapply.
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 school 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.
How to Apply
To apply, please go to https://aprecruit.berkeley.edu/apply/JPF01701.
Please contact email@example.com with any questions.
The University of California is an Equal Opportunity/Affirmative Action 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 the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
About the I School
UC Berkeley’s newest school, the School of Information (I School), was created in 1994 to address one of society’s most compelling challenges: the need to organize and make sense of the abundance of information that we can now collect, store, and share without regard for cost or distance. The way we organize, represent, govern, and make sense of this information will shape our ability to achieve public as well as private goals.
The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions. This requires insights from diverse fields. Our faculty includes scholars and professionals with deep expertise in information and computer science, social sciences, management, law, design, and policy, as well as related fields.
We offer professional master’s degrees and an academic doctoral degree. Our on-campus master’s program (MIMS) trains students for careers as information professionals and emphasizes small classes and project-based learning. Our web-based master’s program (MIDS) is the first and only degree available completely online to train data science professionals. Our Ph.D. program equips scholars to contribute to knowledge and to the policies that influence the organization, use, and sharing of information.
Our graduates work at well-known Bay Area companies that include Apple, Google, Facebook, Salesforce, Twitter, and LinkedIn, as well as at nonprofits like Kaiser Permanente and established businesses like Wells Fargo and Chevron. Many of our graduates take advantage of the opportunity to get in on the ground floor to create or work for start-ups.