University of Michigan
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Postdoctoral Research Fellow in Statistics, Data Science, and AI at University of Michigan University of Michigan in United States
Degree Level
Postdoc
Field of study
Oncology
Funding
The position is funded by several NIH grants. It offers a competitive salary, computing resources, and other benefits in accordance with departmental and university policies. This is a one-year appointment with the possibility of renewal for up to two additional years, contingent upon satisfactory performance and availability of funding.
Country
United States
University
University of Michigan

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About this position
The Department of Biostatistics at the University of Michigan (School of Public Health) is inviting applications for a Postdoctoral Research Fellow position in the broad areas of statistics, data science, and artificial intelligence (AI).
The fellow will work with Yi Li and collaborate with faculty in Biostatistics, as well as medical and biomedical investigators at the University of Michigan and Harvard University. The research program focuses on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and oncology research.
Research topics include 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.
Applicants must hold a PhD in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment. Strong methodological and computational skills are required, along with demonstrated interest or experience in health-related applications of statistical, data science, machine-learning, or AI methods. Strong written and oral communication skills and the ability to work collaboratively in interdisciplinary teams are also expected.
The appointment is for one year with the possibility of renewal for up to two additional years, subject to satisfactory performance and funding. The position is funded by several NIH grants and includes a competitive salary, computing resources, and other benefits.
How to apply: submit a single document with a cover letter, CV, and three references. Send application materials and questions to [email protected]. The post notes that applications are reviewed after the minimum posting period and the opening may be filled at any time.
Location: Ann Arbor, Michigan, United States.
Funding details
The position is funded by several NIH grants. It offers a competitive salary, computing resources, and other benefits in accordance with departmental and university policies. This is a one-year appointment with the possibility of renewal for up to two additional years, contingent upon satisfactory performance and availability of funding.
What's required
PhD in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment. Applicants should have 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, and the ability to work collaboratively in interdisciplinary research teams.
How to apply
Submit a single document containing a cover letter, CV, and the names and contact information of three references. Email the application materials and any questions to Yi Li at [email protected]. You can also apply via the university job portal link provided in the post.
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