One postdoctoral position in computational biology focused on single cell genomics is available at the Guo-Cheng Yuan Lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health.
The goal of the Yuan Lab is to develop computational approaches to analyze and integrate genomic data with the aim to elucidate systems-level gene regulatory mechanisms in development and disease. Current projects include single-cell analysis, genome-wide chromatin state characterization, inference of gene regulatory networks, and functional characterization of genetic variants. Detailed description of our research can be found at our group website: http://bcb.dfci.harvard.edu/~gcyuan
The candidate will develop computational methods for analyzing single-cell transcriptomic and mass cytometry data, with the goals to identify novel cell-types with applications in stem cell biology and cancer immunotherapy. The candidate will have the opportunity to closely interact with basic biologists and clinical investigators at the Dana-Farber Cancer Institute and Boston Children's Hospital.