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The University of Wisconsin–Madison invites applications for a Postdoctoral Research Fellow in biostatistics and interdisciplinary biomedical data science. The position focuses on methodological and applied research with multi-omics data, under Dr. Zhengzheng Tang.
The fellow will develop statistical and machine-learning methods for omics data, implement software, perform simulations, analyze real-world datasets, and prepare manuscripts while collaborating with biologists and clinicians.
The University of Wisconsin–Madison is a leading public research university with a strong tradition in statistics, biostatistics, biomedical research, and interdisciplinary collaboration. The
campus provides a vibrant research environment, excellent computational resources, and extensive opportunities for collaboration with biomedical scientists, clinicians, and public health
researchers.
The fellow will work with Dr. Zhengzheng Tang (https://tangzheng1.github.io/tanglab/) and collaborators on methodological
and applied research involving multi-omics data, including microbiome/metagenomics, genetics,
genomics, and related biomedical data.
Applicants should have, or expect to receive, a PhD in biostatistics, statistics, bioinformatics,
computational biology, computer science, data science, or a related quantitative field.
Experience with omics data is preferred
but not required.
The position is available immediately and will remain open until filled. The initial appointment
is for one year, with the possibility of renewal for a second and/or third year depending on
satisfactory performance and funding availability.