Adjunct Instructor - Business Statistics / Analytics, Supply Chain Management & Analytics

The Supply Chain and Analytics (SCMA) department in the School of Business at Vi rginia Commonwealth University is recruiting a pool of applicants on an ongoing basis for adjunct teaching positions.The SCMA department will consult the adjunct applicant pool and contact qualified applicants for interviews on an as-needed basis.

The SCMA department has an immediate need for an adjunct instructor to teach one section of SCMA 632 (Statistical Analysis & Modeling) in Fall 2024, a graduate-level statistics course. The full course description may be found at https://bulletin.vcu.edu/azcourses/scma/ . This course is currently scheduled as a hybrid delivery format, consisting of in-person classes + synchronous streaming of the in-person classes, scheduled for Thursdays at 7:00pm to 9:40pm, from August 20 through December 9 2024.

Applicants to this position may also be considered for other statistics-related courses (at both undergraduate and graduate levels) on a rolling basis as needs arise. As part of their application, applicants should include the following information: (1) an indication of their ability and willingness to teach in-person courses at VCU’s School of Business (Snead Hall, Richmond VA), (2) whether they are able to teach the specific section of SCMA 632 referenced above, and (3) whether they would like to be considered for other statistics-related courses offered by the SCMA department (e.g., SCMA 301, 302, 303, 430, 524, or 643), should the needs arise in future semesters.

Position Responsibilities

• Meet all designated course instruction guidelines and contact hour requirements.
  
• Respond to student inquiries, grade assignments, and provide feedback in a timely manner.
  
• Submit midterm and final grades prior to university deadlines.
  
• Work with other departmental faculty to ensure course alignment with past offerings.
  
• Teaching methods will vary by course and instructor, but typically include some combination of lectures, hands-on demonstrations, data analysis problems, case studies, exams, and/or student presentations.
  

Minimum Qualifications

• Master’s degree in business, statistics, operations research, or another statistics-related field from an accredited institution.
  
• Knowledge of one or more programs and programming languages used for statistical analysis (e.g., Stata, R, Python, etc.).
  
• Ability to utilize online LMS systems for content delivery.
  
• Ability to teach in-person at VCU’s School of Business (Snead Hall) for the immediate need (SCMA 632, Fall 2024). Applicants that can only teach remotely may be considered (a) for other courses (if/when such needs arise), and (b) to teach SCMA 632 in the Fall if a suitable instructor cannot be found to teach the course in-person.
  
• Demonstrated experience working in and fostering a diverse faculty, staff, and student environment or commitment to do so as a faculty member at VCU.
  

Preferred Qualifications

• Terminal degree (PhD, DBA, etc.) in business, statistics, operations research, or another statistics-related field from an accredited institution .
  
• Prior experience in teaching graduate level courses; experience with hybrid formats (in-person + synchronous streaming online) strongly preferred.
  
• Work experience in statistical analysis.
  

Additional Information:

VCU offers benefits for all adjunct faculty that includes, but is not limited to wellbeing resources, optional retirement, and tuition benefits. Learn more about VCU’s benefits here .

The Supply Chain Management and Analytics department is committed to the growth and professional development of its team members and will provide opportunities to foster a culture of learning and career development.

Virginia Commonwealth University is an equal opportunity, affirmative action university providing access to education and employment without regard to race, color, religion, national origin, age, sex, political affiliation, veteran status, genetic information, sexual orientation, gender identity, gender expression, or disability.