The Department of Epidemiology and Biostatistics at the University of Maryland School of Public Health is seeking applications for a tenure-track Assistant Professor position in Biostatistics. This role is ideal for candidates with a doctoral degree in biostatistics or statistics and a strong research background in artificial intelligence and data science, particularly as applied to emerging public health threats such as climate change, infectious diseases, pandemic preparedness, mental health crises, and non-communicable diseases. The successful candidate will join a vibrant, interdisciplinary community committed to advancing methodological innovation in biostatistics and improving population health.

The department offers a collaborative environment with opportunities to interact with faculty across the School of Public Health, the Artificial Intelligence Interdisciplinary Institute, and other research centers. The position involves teaching undergraduate and graduate biostatistics courses, mentoring students, and developing an independent research program that integrates AI and machine learning with health data analytics. Applicants should have experience with large datasets, including electronic health records, surveys, satellite observations, and social media data, and be skilled in time-to-event statistical methods.

The appointment is a 9-month tenure-track position with a competitive salary, guaranteed for 9 months annually, and the possibility of extending to 12 months with external funding. The University of Maryland is committed to diversity, equity, and inclusion, and encourages applications from candidates who can contribute to these values. The application deadline is February 28, 2026, with appointments potentially beginning January 2027 or at a mutually agreed-upon date.

To apply, candidates should submit a cover letter, CV, teaching and research statements, three representative publications, and contact information for three references via the University of Maryland Workday portal. For further information, applicants may contact Dr. Xin He or Ms. Amal Hammad by email. This position offers an exciting opportunity to contribute to cutting-edge research and graduate student training in biostatistics, artificial intelligence, and public health at a leading research university.