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How to Apply

Submit one single document that includes the following items: 

1) Cover Letter

2) Curriculum Vitae or Resume

3) Statement of Teaching Philosophy which addresses experience and ways you have encouraged inclusivity and diversity in the classroom. This statement should also highlight your experience with online education, if any, as a student and/or instructor

4) List of three references which should include their contact information and your relationship with them


Submit one single document that includes the items listed down below. This application management system accepts only one single document that is created in DOC, DOCX, RTF, ODT, PDF, or TXT format. Please note that the single document file must be less than 500kb. If you have trouble submitting the full packet of materials using this system, please still apply online with just your cover letter and resume and email the full packet to umsi.human.resources@umich.edu.

Job Summary

The University of Michigan School of Information (UMSI) is looking for qualified individuals as Intermittent Lecturers to provide instruction in our new Master of Applied Data Science degree.  We are offering a part-time, remote (work from anywhere) in the US or on-site position with a competitive salary. We expect the applicant to support courses such as data manipulation, exploratory data analysis, math methods, supervised and unsupervised learning, information visualization, and experiment design and analysis. We desire candidates who are passionate about teaching and using data science to build a better world.

Students in the online degree program take four-week classes on the Coursera platform. Each class is facilitated by an instructional team that includes a lead instructor and several support staff. Under the direction of the lead instructor, you will be the main instructional and student support, and participate in the continuous process improvement for the course. Given the structure of the online degree program, you could be supporting one or more classes that change from month to month. Course assignments are made in advance giving teaching faculty ample time to prepare.

Responsibilities*

As a Lecturer at UMSI, you will help deliver UMSI courses on Coursera, grading, holding online office hours, managing autograders, answering student questions and communicating with students, and facilitating small group online discussions and student conversations. At UMSI, we demonstrate respect for students as individuals and foster a respectful atmosphere in the online learning environment. You will also work collaboratively with lead instructors, other instructional team members, and UMSI staff (who help with administration and student advising/life functions) to ensure that students receive an excellent education and are aware of support services in the larger UM and UMSI communities. You will continuously learn about the courses and future offerings, the program, and effective online pedagogy.

You will have flexible work hours and you will coordinate with other instructional team members to ensure daily/evening/weekend coverage for students who may live in different time zones.

Required Qualifications*

  • Bachelor’s degree in Data Science or a related field, such as Information, Computer Science, or Statistics 

  • 2+ years of experience programming with Python

  • Current knowledge of and demonstrated proficiency in data science applications and techniques

  • Teaching experience, particularly online

  • Deep interest in improving pedagogy and collaboration to perform instructional best practices online 

  • A commitment to inclusive teaching and cultural diversity

Desired Qualifications*

  • Master’s degree in Data Science or a related field, such as Information, Computer Science, or Statistics 

  • College-level teaching experience (or the corporate equivalent), particularly in an online environment

  • Experience taking online classes, particularly with the Coursera platform

  • Experience with tools used in the full range of data science activities from Jupyter Notebooks to Altair to  AWS

  • Current participation in professional associations

Union Affiliation

This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Job openings are posted for a minimum of ten calendar days. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.