Postdoctoral Research Fellow

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Applicants should submit the following materials as a single document:

• A cover letter describing their specific interest in the position, relevant skills and experience, and overall research interests and plans (no more than 3 pages);
• A curriculum vitae; and
• The names and contact information of three references.

Please submit application materials and any questions about the position to Yi Li at yili.

The Department of Biostatistics at the University of Michigan School of Public Health invites applications for a postdoctoral fellow position in the broad areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and oncology research.

The fellow will work under the supervision of Yi Li, with opportunities to collaborate with faculty in the Department of Biostatistics as well as medical and biomedical investigators at the University of Michigan and Harvard University. The position is funded by several NIH grants.

The Department of Biostatistics is ranked No. 3 nationally by U.S. News & World Report. We are a thriving community of 47 faculty members, 16 postdoctoral fellows, 243 students, and 124 research and administrative staff, with strong ties to the Department of Statistics, the Medical School, the Michigan Institute for Data Science, and other research groups across the University of Michigan.

The start date is flexible; the selected candidate will ideally begin as soon as possible.

The postdoctoral fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include but are not limited to modern survival analysis, high-dimensional statistical inference, AI and machine learning, deep learning and its statistical foundations, causal inference, statistical methods for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data.

The fellow will be expected to develop novel statistical methodology and apply it in real-world biomedical studies, prepare manuscripts for peer-reviewed journals, present and disseminate research findings, and collaborate with biomedical and clinical investigators.

There will also be opportunities to contribute to the teaching of graduate courses. The successful candidate will receive a competitive salary, computing resources, and other benefits in accordance with departmental and university policies.

• PhD in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment
• Strong methodological and computational skills
• Demonstrated interest or experience in health-related applications of statistical, data science, machine-learning, or AI methods
• Strong written and oral communication skills
• Ability to work collaboratively in interdisciplinary research teams

The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

This position may be eligible for remote and/or flexible work opportunities at the discretion of the hiring department. Flexible work agreements are reviewed annually and are subject to change based on the business needs of the hiring department throughout the course of employment.

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