Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine

General Description

The Department of Biostatistics at Johns Hopkins University is inviting applications for Postdoctoral Fellow positions in the broad areas of data science and AI. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU on research topics such as AI and machine learning; methodological foundations; computational approaches and biomedical applications.

Candidates should indicate in their cover letter the names of potential faculty mentors and suggest projects that would advance the understanding or application of data science and AI in health and biomedical research. Applicants who bridge multiple faculty interests or connect disparate fields are particularly welcomed. Funds will support competitive salaries, computing resources, travel support, and other benefits in accordance with departmental and university policies.

• PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field
• Strong methodological and computational skills
• Demonstrated interest or experience in health‑related applications of statistical or data science methods
• Strong written and oral communication skills
• Ability to work collaboratively with interdisciplinary teams

• Competitive salary commensurate with experience
• Computing resources, travel support, and other benefits per departmental and university policies
• Access to the Johns Hopkins Data Science and AI Initiative and interdisciplinary collaborations
• Total rewards package supporting health, life, career and retirement benefits (details at (Use the "Apply for this Job" box below).)

The successful candidate(s) for this position will be subject to a pre‑employment background check including education verification.

The Johns Hopkins University is committed to equal opportunity for its faculty, staff and students. 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 characteristics. 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.