Postdoctoral Fellowship Position: Data Science and AI in Health and Medicine

General Description Salary: $65,000-75,000 per year 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. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation\'s foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. 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. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). 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. Successful candidates will receive competitive salaries computing resources, travel support, and other benefits in accordance with departmental and university policies. 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. In describing potential projects, the candidates should not be afraid to propose directions that build on, but are distinct from, their work during PhD--we are interested as much in what your vision for future is as in your past accomplishments. Applicants whose work might bridge multiple faculty members\' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. 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 For more information about the Department of Biostatistics and its faculty, please visit If you have any question about the position, please contact Mary Joy Argo ( View email address on click.appcast.io ). Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University\'s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate\'s geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees\' health, life, career and retirement. More information can be found here: Equal Opportunity Employer 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 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 or demographic characteristics that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at View email address on click.appcast.io . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu . Background Checks After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate\'s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought. EEO is the Law Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit and all other JHU applicants should visit #J-18808-Ljbffr John Hopkin’s University