Employment Type: Permanent Faculty

Vacancy ID: FAC0005065

Position Summary/Description:

This position is a full-time fixed-term appointment at the Research Assistant Professor level, situated primarily in the UNC Suicide Prevention Institute ( SPI ) in the Department of Psychiatry. SPI is seeking a researcher with a track record in big data analysis and large language models. The applicant is expected to be a skilled, independent researcher, with experience in grant and paper writing. Applicants with clinical training are optimal to ensure the clinical applicability and translatability of SPI research. SPI is seeking a researcher with experience working with large local, state, and national databases on projects related mental health and the application of large data models to mental health policy at the local, state, and federal level. The applicant should have experience presenting data to academic, government, and community audiences and be an excellent communicator of research. The successful candidate will be expected to write grants to finance new independent projects related to the mission of SPI and to write manuscripts and give presentations on local, national, and international meetings related to their science. The faculty member will have specific duties training undergraduates, medical students and residents, MPH students, PhD students, post-doctoral fellows, and faculty members associated with SPI .

The UNC Suicide Prevention Institute ( SPI ) is a large multidisciplinary organization that unites researchers, clinicians, educators, policymakers, people of faith, those in marginalized communities, and lived experience advisors to rapidly deploy scalable evidence-informed primary, secondary, and tertiary prevention interventions for suicide.

Education and Experience:

Not applicable

AA/EEO Statement:

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.