Assistant Professor

to join in cutting-edge research and development related to social and behavioral sciences, data science and AI. This is an exciting time to join the Johns Hopkins University (JHU), BSPH and HBS. JHU has spearheaded many exciting new initiatives involving AI and data sciences, and is in the process of rolling out a globally-leading, campus-wide initiative in the application of AI and data science to a wide range of disciplines. Through IDIES, JHU also has many advanced high performance data platforms and is a global leader in the application of advanced computer technologies.

Among the Bloomberg School’s ten academic departments, HBS is recognized for having unique strengths in interdisciplinary theory, rigorous qualitative and quantitative methods, and community partnerships. The Department is dedicated to solving pressing public health challenges in Baltimore, the United States, and around the globe by engaging in impactful public health research, training, and practice focused on the influences of social context, structures, systems, and behaviors. This position represents a unique opportunity to work with great colleagues within the department and across schools (including engineering, medicine, and business) within one of the largest and most highly regarded research universities in the world. Career advancement within the faculty ranks is actively supported for all new faculty hires.

Applications received by 11:59 PM ET on Friday, November 20, 2026 will receive priority review. The ideal position start date is July 1, 2027. The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic.

The university is committed to providing qualified individuals access to all academic and employment programs, benefits, and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. . Candidates must have a PhD, ScD, DrPH, or comparable terminal degree by the time of application in a field relevant to the social and behavioral sciences, public health, computer science, data science, or another related discipline. We welcome candidates with diverse disciplinary backgrounds whose research and teaching bridge social and behavioral science with emerging approaches in artificial intelligence (AI), machine learning, computational methods, human-computer interaction, natural language processing, social media analytics, or related areas. We are particularly interested in scholars who can critically examine the opportunities, limitations, and ethical implications of these emerging technologies while preparing public health students to apply both social science theory and innovative analytic approaches to contemporary public health challenges.

Candidates should demonstrate a strong interest in applying social and behavioral science perspectives and/or innovative data and AI approaches to important public health challenges, including understanding and addressing the social determinants of health and health inequities. The faculty member will contribute to teaching and mentoring across HBS and help shape the future of interdisciplinary education and research at the intersection of social and behavioral science, data science and AI. . Applicants should submit a current CV and a letter of interest. The letter of interest should be no longer than three pages and should summarize 1) why you are attracted to this position, 2) what attributes and experiences make you a competitive candidate, and 3) how your (a) past record, (b) current research and practice scholarship, (c) future plans and (d) teaching philosophy will contribute to the mission and values of HBS and the BSPH. . $147,000- $160,000