> Markdown version of [/jobs/ext/3729276-full-time-faculty-in-information-systems-cybersecurity-analytics-and-research-methods](https://www.wearedevelopers.com/jobs/ext/3729276-full-time-faculty-in-information-systems-cybersecurity-analytics-and-research-methods). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Full-Time Faculty in Information Systems, Cybersecurity, Analytics and Research Methods

- **Company:** Saint Louis University
- **Location:** Washington, DC, United States
- **Contract:** Franchise
- **Skills:** Data Analysis, Cyber Security, Information Systems, Machine Learning, Elearning, Information Technology
- **Published:** October 14, 2026
- **Apply:** https://www.thejobnetwork.com/job/full-time-faculty-information-systems-cybersecurity-analytics-and-research-methods-509778749

## About the Role

Ideal candidates are cross-functional, with the ability to teach in more than one area. Exact courses will depend on program needs, although no new course preparation will be necessitated, as classes are already designed.

For the Master of Science in Information Systems program, candidates should have a Ph.D. in Information Systems, Computer Science, or a closely related discipline. ABD candidates in these fields may be considered. Those with a master's degree in these disciplines may be considered but only if the candidate can demonstrate extensive industry experience and certifications.

For the Master of Science in Cybersecurity Global Graduate program, candidates should have a Ph.D. in Cybersecurity, Information Security, Computer Information Systems, Computer Science, or a closely related discipline. ABD candidates in these fields may be considered. Those with a master's degree in these disciplines may be considered but only if the candidate can demonstrate extensive industry experience and certifications.

For the Master of Science in Analytics Global Graduate program, candidates should have a Ph.D. in Business Administration, Computer Science, Data Science, Machine Learning, Information Systems, or a closely related discipline where Analytics is emphasized. ABD candidates in these fields may be considered. Those with a master's degree in these disciplines may be considered but only if the candidate can demonstrate extensive industry experience and certifications.

For the graduate-level courses in Research Methods and Decision Making, candidates should have a Ph.D. in a field of study (e.g., social science, business, analytics, information systems) with coursework and experience in applied research methods (qualitative, quantitative, and mixed methods) and statistics. Preference will be given to candidates who can relate (through background, research, and consulting) methods, statistics, and evidence-based decision making to practitioners. ABD candidates in these fields may be considered.

## Description

All are open-rank, non-tenure track full-time faculty positions, with a nine-month contract running from August to May (renewed annually, with multi-year contracts possible after the first year). Candidates will teach up to seven graduate-level courses during the daytime with the bulk of the teaching occurring on campus. However, there is the possibility to teach select online sections if need dictates. There are also potential summer, flexible, online teaching opportunities.

As these are primarily teaching roles, research is supported but not required. However, active researchers and those with grants may be eligible for a reduction in teaching load. For interested faculty, potential or partial reduction in teaching load to maintain industry/professional practice in related area of expertise is an option. Additional expectations include limited service to support the program and School for Professional Studies as assigned by the appropriate Program Director in consultation with the Associate Dean of Academic Affairs.

Faculty will join a community where teaching excellence is present and well-supported. The Saint Louis University Reinert Center for Transformative Teaching and Learning staff provide a wealth of resources for faculty development through in-person workshops, online offerings and individual consultation. Faculty also receive professional development funds to support their ongoing development and professional travel-related costs.