Required Qualifications:
â¢A PhD degree in related field (Bioinformatics, Computer Science, Statistics, etc.) obtained in the last 1~2 years.
â¢Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics/genetics experiences (spatial transcriptomics, single-cell sequencing, high-throughput omics sequencing data analysis, TWAS/GWAS, etc.) or other relevant areas.
â¢Strong programming skills: (e.g., R, Python, and Unix Shell).
â¢Quick learning capability for new technologies and analytical methods
â¢Strong communication and interpersonal skills and a track record of collaborative work in multidisciplinary research environment.

Job description:
â¢Zhuâ™s lab is a dry lab. The research interests are mainly focused on the novel computational methodology design and integrative multi-modality data analysis to (1) enhance the spatial profiling technology and (2) screen the pathogenic upstream regulator.

Responsibilities:
â¢Develop novel computational methods to enhance the power of spatial-omics technology.
â¢Develop novel computational methods to advance understanding of the complex genetic diseases, e.g., fatty liver disease, diabetes, etc.
â¢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 the coordinated biological regulatory mechanism from different omics layers.
â¢Publish high-impact factor papers and give presentations of novel research findings in academic journals and conferences.
â¢Manage and maintain software/database for long-standing user support.

About University of Minnesota Twin Cities

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