Boston University, Questrom School of Business

Position ID:BU-Questrom School of Business-CLASTPIS [#23346]
Position Title: Clinical Assistant Professor, Information Systems
Position Type:Non tenure-track faculty
Position Location:Boston, Massachusetts 02215, United States [map] sort by distance
Subject Areas: Business Analytics
Information Systems / information science, Information Systems
Appl Deadline:2023/04/30 11:59PMhelp popup finished (2022/12/01, finished 2023/11/04, listed until 2023/04/30)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

Job Description

The Questrom School of Business at Boston University seeks to hire a Clinical Assistant Professor trained in Information Systems, Data Analytics, Business Analytics, Data Science, and/or related disciplines. The anticipated start date for this position is July 1, 2023. We seek outstanding candidates who would be comfortable in, stimulated by, and engaged with both the graduate and undergraduate student populations as well as corporate partners. Candidates with relevant experience in industry are encouraged to apply; at least 2 years of industry experience is desired. Faculty will be expected to teach graduate courses in the MS in Business Analytics and the MBA program. The former is a technical Master's program offering rigorous hands-on training in solving data problems in business context. Faculty may also be asked to guide students in capstone projects focusing on data oriented problems in partnership with corporate partners.

The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data analytics. Key hires in this area in recent years represent a strategic focus for the school. Our world-class faculty conduct interdisciplinary research at the intersection of Information Systems, Economics, and Machine Learning. Our faculty include global experts in the areas of fintech, digital healthcare, online reputation systems, platform economics, and social media, among others. Questrom is regularly ranked among the top global institutions for research output, and eleven Questrom faculty (five in IS) have recently been named among the top 2% of all scientists globally for citation impact. The strengths of the Questrom School in analytics along with its diverse and outstanding student body has led to the MSBA program being ranked in the top-10 in the USA. Thus this position presents an exciting opportunity to teach advanced analytics in a business context.

Required Skills:

PhD in information systems, operations research, computer science, engineering, applied math or statistics is required. Technical industry experience is highly desirable. Candidates should have strong communication skills. Candidates should be able to demonstrate a strong ability to teach. Prior experience in teaching courses at the undergraduate or graduate level is desirable. Experience in applied machine learning techniques and ability to work with large datasets leveraging latest technologies are required. Ability to teach them in a hands-on manner to students (including novices) using Python and other appropriate technologies with the help of applied industry examples is essential.

The Questrom School of Business believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. To that end, we are especially eager to have colleagues join our ranks who support our institutional commitment to ensuring BU is inclusive, equitable, diverse, and a place where all constituents can thrive. The Questrom School of Business seeks to continue diversifying our faculty, student and staff ranks, recognizing that diversity of experience and thought deepens the intellectual endeavor. The Questrom School of Business offers generous research and teaching support. The salary is competitive and commensurate with experience.


In your application, please include (1) cover letter (2) CV (3) programming sample or reference to one on e.g. github (4) teaching evaluations or equivalent content demonstrating teaching ability (5) 2-3 references. Please contact our department administrators with any questions regarding the position or application process through email at

Application Deadline: For full consideration apply by Jan 15, 2023. We will evaluate applications on a rolling basis and accept them until the position is filled. Please note all newly hired staff and faculty will need to be in compliance with Boston University’s COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption (instructions). For further information on the University’s response to COVID-19, please visit the COVID-19 Resources site. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

Job Location Boston, United States

Position Type Full-Time/Regular

Salary Grade Based on experience

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
595 Commonwealth Avenue Boston MA 02215