We are excited about the opportunity to expand our team in the near future. Currently, we are recruiting postdocs and graduate students in the following areas.
1. Single-cell multi-omics. Single-cell RNAseq analysis is the most commonly used approach for characterizing cellular heterogeneity. Recently, new technologies have been developed to jointly profile multiple modality information within the same cells. Our lab has a long interest in single-cell analysis and developed a number of innovative computational methods for cell type identification (GiniClust), deconvolution (DWLS), data imputation (RESCUE), pesudotime amd trajectory analyses (SCUBA, ECLAIR, STREAM) and network analysis (MCA Network). We have recently employed single-cell multi-omic (RNAseq + ATACseq) analysis to refine cell-state characterization and elucidate the underlying gene regulatory networks (Chen et al. 2022, manuscript under review). The new postdoc will be responsible for developing new methods with application in neuropsychiatric diseases.
2. Spatial Transcriptomics/multi-omics. Tissue microenvironment and cell-cell interactions are important for mediating cellular behavior in development and diseases. Spatial transcriptomics/multi-omics technologies provide powerful tools for dissecting tissue microenvironment and investigating mechanisms for cell-cell interactions. Our lab developed a number of novel methods for characterizing the spatial patterns (Zhu et al. 2018, Nature Biotech), cell-type deconvolution (Dong and Yuan 2021, Genome Biology), and cell-cell interaction pathways (Dries et al. 2021, Genome Biology). More importantly, we developed Giotto, which is the first integrative toolbox for comprehensive spatial transcriptomics data analysis and visualization, and extended it to enable spatial multi-omic data analysis. There remain many challenges in this emerging field. The new postdoc will be responsible for developing new methods to overcome such challenges.
The new postdoc will have opportunities to closely collaborate with leaders in both biology and technology fields. Our past collaborations have resulted in numerous highly impactful publications. Please refer to our publication page for details. Currently, we are mainly interested in neuropsychiatry, cancer, immunology as the disease areas.
To apply, please send a cover letter, updated CV, and contact information for at least two references via email to Dr. Guo-Cheng Yuan.