「Required Qualifications」·A PhD degree in related field(Bioinformatics, Computer Science, Statistics, etc.) obtained in the last 1~2years.·Strong quantitative data analysisbackground (machine learning, biostatistics, etc.) and/or computationalgenomics/genetics experiences (spatial transcriptomics, single-cell sequencing,high-throughput omics sequencing data analysis, TWAS/GWAS, etc.) or otherrelevant areas.·Strong programming skills: (e.g., R,Python, and Unix Shell).·Quick learning capability for newtechnologies and analytical methods

·Strong communication and interpersonalskills and a track record of collaborative work in multidisciplinary researchenvironment.

「Job description」

·Zhu’s lab is a dry lab. The research interests are mainly focused onthe novel computational methodology design and integrative multi-modality dataanalysis to (1) enhance the spatial profiling technology and (2) screen thepathogenic upstream regulator.

「Responsibilities」·Develop novel computational methods to enhance the power of spatial-omicstechnology.·Develop novel computational methods to advance understanding of thecomplex genetic diseases, e.g., fatty liver disease, diabetes, etc.·Conduct rigorous and reproducible integrative multi-modality data analysis(generated from spatially resolved sequencing, single-cell sequencing,long-read and short-read bulk sequencing, etc.) to shed lights on thecoordinated biological regulatory mechanism from different omics layers.·Publish high-impact factor papers and give presentations of novelresearch findings in academic journals and conferences.

·Manage and maintain software/database for long-standing usersupport.


「Applications」Send the application documents to Dr. Zhu: zhu02@umn.edu• Cover letter• CV• Contact information forthree referencesApplications are open untilthe position is filled.


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