This job has closed.

University of Michigan School of Public Health · 1 week ago

Postdoctoral Fellow in Biostatistics

Ann Arbor, MI

Full-time

Hybrid

Senior Level

The University of Michigan School of Public Health is inviting applications for a postdoctoral fellow position in Biostatistics. The role focuses on developing and applying statistical, machine learning, and AI-based computational tools to advance biomedical and oncology research.

Responsibilities

You will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data

The research topics include, but not limited to, computational approaches such as AI and machine learning; methodological foundations and computational approaches for AI for biomedicine, Bayesian inference, cancer imaging, digital pathology, spatial biomodeling, systems biology and other high-throughput data sources

The postdoctoral fellow is expected to develop statistical methods and apply them to real-world studies, write manuscripts in peer-reviewed journals, disseminate research findings at professional conferences, and collaborate with biomedical researchers

There will be opportunities to mentor PhD students on the research team

Qualification

PhD in BiostatisticsStatistical methodsMachine learningAI-based methodsComputational skillsHealth-related applicationsWritten communicationOral communicationCollaborative work