Associate/Full Professor in Health Informatics

The Department of Health Administration and Policy at George Mason University is seeking an outstanding faculty member to develop academic research and teach in areas related to health informatics. George Mason University has a strong institutional commitment to excellence and diversity among its faculty and staff, and it strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

About the Department
GMU’s Department of Health Administration and Policy has educated students and conducted research in health systems management, health policy and health informatics since 2010. Today, graduate programs in these areas seek to prepare new leaders to apply management and evidence-based decision making to improve public health and the quality of health care. The distinctive approach to all HAP degree programs is rigorous, innovative, accessible and hands-on.

About the Position
This position complements the Departments programs and the College’s planned transition to become a college of public health in the near future. Areas of expertise may include decision support system, use of Electronic Health Records in quality improvement, Automated methods of assessing patient safety, big data analysis, information technology to promote health behavior change, causal analysis of observational data, machine learning, natural language processing, data visualization, artificial intelligence, and mobile app development, or related areas. History of extramurally-funded research is required.

The appointment will begin in August 2021, though other starting times may be possible. This is a full-time (9-month) position and applicants can increase their salary through funded research support during summer months.

Responsibilities:

• Teach and mentor students at undergraduate, graduate and doctoral levels; 
• Maintain an extramurally funded research program; 
• Engage in professional service; 
• Faculty will be expected to collaborate in the development of multidisciplinary courses, degree programs, and research.

Required Qualifications:

• An earned Doctorate in a field or discipline such as information science, computer science, or health informatics;
• An established research related to health informatics, as evidenced by refereed publications and external funding;
• Teaching experience; 
• Strong interpersonal communication skills.

Preferred Qualifications:
Candidates for associate or full professorships ideally will have current funded projects.

Special Instructions to Applicants: 
For full consideration, applicants must apply for position number F486AZ online at https://jobs.gmu.edu/. Please upload a (1) cover letter of interest, (2) curriculum vitae, (3) a list of three references with full contact information; (4) personal statement on research trajectory, student mentorship, and teaching experience (as Other doc); and (5) a statement of diversity (as Other doc) (see prompt).

Candidates who are invited for a campus interview must arrange for the search committee to receive three professional letters of recommendation prior to their campus interview.

Diversity Statement Prompt:
Have you worked with any individuals in a teaching, mentorship or advisory capacity who are from marginalized groups? If so, how did you help them identify and overcome barriers to success? Think about your experience with research mentorship, teaching or tutoring, academic advising, and community mentorship. (No more than 2 paragraphs.)

For questions about the position, please contact Dr. Farrokh Alemi, Search Committee Chair, at: falemi@gmu.edu.

Initial review of applications will begin on 2/12/2021 and will continue until the position is filled. An offer of employment is contingent upon background verification.

George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.