Lecturer - UBC Master of Data Science Program
The University of British Columbia, Vancouver invites applications for a Lecturer, associated with the Master of Data Science Program. This program is a collaborative effort of the Department of Computer Science and the Department of Statistics, within the Faculty of Science. The Lecturer will be formally based in the Department of Statistics but work closely with colleagues from both departments.
The MDS program focuses on the effective and responsible use of Data Science tools across a broad spectrum of data types and domain areas. It is a 10-month, full-time program, delivered in four-week course modules. The last two months are devoted to a capstone project. The first cohort of MDS students graduated in June 2017; thus, this position offers an opportunity to shape the delivery of the program going forward.
The Lecturer will:
• Carry out teaching and service duties determined by the Directors of the MDS program and the Head of the
Department of Statistics, which may include being the primary instructor for a subset of the modules within the MDS program, providing instructional support to other faculty instructors
for other MDS modules, and teaching Data Science-related courses in the Department of Statistics.
• Identify and develop instructional materials, including appropriate datasets, in collaboration with
• Work with MDS Directors and faculty to expand the MDS curriculum and keep it current.
• Mentor MDS students undertaking capstone projects and liaise with project partners.
• Foster a positive learning environment for MDS students and be the main continuous presence with the
student cohort over the 10 months.
• Serve on the MDS admissions committee.
• Collaborate on Data Science education tasks with other groups at UBC such as the Undergraduate Program
within the Department of Statistics, the Sauder School of Business’ Master of Business Analytics program, etc.
• Train and supervise teaching assistants.
• Liaise with other UBC units engaged in Data Science teaching and learning initiatives.
We aim to recruit a junior scholar who is committed to both the practice and the teaching of Data Science and who is drawn to an academic environment. There are also opportunities for the Lecturer to contribute to other Data Science research projects undertaken by the Applied Statistics and Data Science Group within the Department of Statistics.
The position is subject to final budgetary approval. The Lecturer will be appointed for 12 months, or in exceptional circumstances up to 36 months, in the first instance, with the intent of renewal for one or more additional years subject to satisfactory performance. The start date is February 1, 2019 or later subject to negotiation. The Lecturer will primarily report to the MDS Program Directors.
Applicants should hold a post-graduate degree (PhD preferred) in an area relevant to Data Science and have some background in Statistics. They should have experience in at least one of these areas and enthusiasm for all: practical data management and analysis (statistical inference and/or machine learning); teaching at the postgraduate level; curriculum development; R/Python/SQL; version control and other practices related to collaborative and reproducible scientific work. Inquiries about qualifications or the program can be directed to Tiffany Timbers at email@example.com.
The application package should consist of the following elements: cover letter, curriculum vitae, teaching statement, contact information for three references, and any other pertinent information (e.g., evidence of teaching effectiveness or links to relevant data scientific work). The cover letter should specifically address how this position relates to the applicant’s experience and career aspirations. The application should be sent to firstname.lastname@example.org as either a single combined PDF file or a link to a public GitHub repository containing the application materials. Applications will be reviewed as they arrive; those received by January 7, 2019 will receive full consideration.
Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person. All qualified candidates are encouraged to apply; however Canadians and permanent residents of Canada will be given priority.