A postdoctoral fellow position in computational biology is available at the Guo-Cheng Yuan Lab at Dana-Farber Cancer Institute and Harvard Medical School.
The goal of the computational biology lab led by Dr. Yuan is to gain systems-level understanding of the gene regulatory mechanisms in development and cancer. The lab has strong interest in developing computational methods for analyzing single-cell transcriptomic data methods (Marco et al. 2014, PNAS; Jiang et al. 2016, Genome Biology; Suo et al. 2018, Cell Reports) and apply these methods to characterize the cellular heterogeneity and investigate the underlying mechanisms. Recently, the lab has moved one step further to study the spatial organization of tissue structure at single-cell resolution. To this end, the lab has developed new methods for analyzing single-cell resolution spatial transcriptomic data (Zhu et al. 2018, Nature Biotechnology; Eng et al. 2019, Nature). The lab is an active member in the Human Cell Atlas and HuBMAP consortium.
The postdoctoral fellow is expected to further extend and develop novel methods for single-cell analysis, integrating multi-omics information such as transcriptome, epigenomic, and spatial information, with the aim to systematically construct spatial-temporally resolved cell atlases and further link to human diseases.The postdoctoral fellow will have the opportunity to closely interact with the Human Cell Atlas and HuBMAP communities.
The candidate should hold a doctoral degree in either a quantitative or a biological field. The candidate should also have a track record of developing genome-scale data analysis methods that are useful for solving biological problems. Previous knowledge in single-cell biology is desired but not required.
Please send cover letter, CV and at least two recommendation letters to Dr. Guo-Cheng Yuan (gcyuan at jimmy dot harvard dot edu).