Description

Salary: $65,000-75,000 per year

Status: Full Time

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, as well as 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. 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.

Requirements

• 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.