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Posted: 09-Dec-25
Location: Fairfax, VA, Virginia
Internal Number: 10003558
Department: Col of Engineering and Computing
Classification: 9-month Instructional Faculty
Job Category: Instructional Faculty
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: Hybrid Eligible
Sponsorship Eligibility: Eligible for visa sponsorship
Salary: Salary commensurate with education and experience
Criminal Background Check: Yes
About the Department:
The mission of the George Mason University Department of Statistics is to pursue sound and reproducible research in statistics and data science; train and educate the next generation of statistics and data scientists in the changing landscape of computing and AI; promote the practice of statistical principles, evidence-based research, and unbiasedness in data collection and usage; and impact society through statistical innovations and interdisciplinary collaborations.
The Department of Statistics in the School of Computing (SoC), part of the College of Engineering and Computing (CEC), offers a PhD in Statistical Science, two MS degrees (Biostatistics and Statistical Science with concentrations in Modern Statistics and Statistical Data Science), a BS in Statistics with four concentrations, and dual MS and accelerated BS/MS options. Founded in 1992, the Department has grown rapidly in research and scholarship. It is renowned for its leaders in statistics, biostatistics, data science, and AI, with faculty holding national and international credentials and prestigious honors.
Located on the beautiful Fairfax campus in Northern Virginia's high-tech corridor, the department is just 30 minutes from downtown Washington, D.C., and Dulles International Airport, and is served by top-ranked high schools in the country. Its main offices in the Engineering Building foster a connected community with other CEC departments and are a short walk to Research Hall's math and other science departments. With additional space in the new Fuse building on the Arlington campus, accessible via shuttles, metro, and rail, the department has access to state-of-the-art facilities in Fairfax and Arlington, as well as vast resources from industrial, cultural, federal, and academic institutions in the capital area. On-campus faculty rental housing is also available (see masonvale.gmu.edu).
The department conducts collaborative research with top corporations and organizations, including INOVA Health, one of the nation's leading hospitals. It has also established new ties with other institutes in the greater Washington area. In the changing landscape of computing and AI, the department faculty has ample opportunities for interdisciplinary research and interaction with AI within and beyond the CEC and SoC, the first School of Computing in Virginia. It has a distinct potential for innovations in statistics, data science, and interdisciplinary research spanning medicine, engineering, economics, technology, and society. Further information is available at https://stat.gmu.edu.
About the Position:
The faculty member conducts independent and collaborative research in statistics or data science, teaches undergraduate and graduate courses, develops an independent, externally funded research program, supervises students, participates in all aspects of the department mission, including university, college and departmental governance, and performs professional and public service.
Our positions are 9-month Instructional Faculty positions funded by the university?s educational and general funds. Tenure-track faculty are eligible for a provost one-semester study leave after a successful three-year review. Full-time, tenured faculty with six or more years of completed service at George Mason University can also apply for study leaves.
Junior faculty candidates must have demonstrated potential for excellence and productivity in statistical, data science, or statistical AI research, excellent communication skills, and a commitment to high-quality teaching. Senior candidates for tenured positions must have established records of outstanding research, funding, and excellent teaching.
Responsibilities:
Teaching
- Teaches at the undergraduate and graduate levels, mentors and supervises students.
Research
- Develops an independent, externally funded research program, and train students through independent and collaborative research.
Service
- Advises students;
- Participates in all aspects of the department?s mission; and
- Serves the profession.
Required Qualifications:
- PhD in Statistics, Biostatistics, or a related field for all candidates;
- Senior candidates must have also established records of outstanding scholarship, sponsored research, funding, and excellent teaching in Statistics or Biostatistics; and
- Demonstrated potential for excellence and productivity in research, excellent communication skills, and a commitment to high-quality teaching.
Preferred Qualifications:
- Experience in all areas of Statistics or Biostatistics will be given full consideration: Statistics, Biostatistics, Statistical Data Science, interfacing with AI/ML, complex data, and modern computing, including but not limited to causal inference/causal ML, data/population shifts, reinforcement learning, privacy and security, gen AI, and statistical learning, foundations of AI; and
- Ability to build collaborations with other disciplines, within the college, across the university, and/or beyond is encouraged.
Instructions to Applicants:
For full consideration, applicants must apply for Open-Rank, Tenured/Tenure-Track Statistics Faculty at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a Cover Letter/Letter of Intent, CV, Philosophy of Teaching, Research Statement, and a Transcript (Optional) for review.
Posting Open Date: December 8, 2025
For Full Consideration, Apply by: January 14, 2026
Open Until Filled: Yes
