The Johns Hopkins University
Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine
The Johns Hopkins University, Baltimore, Maryland, United States, 21276
Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include--but are not limited to--computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Qualifications 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 Application Instructions Interested Applicants Should Submit The Following Materials Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals) Curriculum vitae Contact information for three references Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled. 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.
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We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include--but are not limited to--computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Qualifications 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 Application Instructions Interested Applicants Should Submit The Following Materials Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals) Curriculum vitae Contact information for three references Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled. 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.
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