We seek a talented and highly motivated Postdoctoral Fellow to work on the cancer chromatin organization and single-cell profiling projects. The primary research focus is to apply innovative bioinformatics approaches to dissect the tumor ecosystem and better understand chromatin organization and tumor-immune co-evolution under therapy response. In particular, to profile in-depth the cellular & functional heterogeneity, lineage plasticity, somatic mutations, and evolutionary dynamics of tumor cells.
Gain a mechanistic understanding of mutational processes, tumor cell heterogeneity/evolution, and immune resistance. Learn skills for cancer genomics and single-cell sequencing data analysis. Learn study design, data analysis, interpretation, presentation, and manuscript writing.
Individuals with a Ph.D. degree in computational biology, bioinformatics, physics, data science, or a related field are encouraged to apply. A strong computational background, proficiency in Python or R, and knowledge of biostatistics are required. Experience working with single-cell sequencing data analysis and high-performance computing environment (Unix/Linux) is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. A proven track record of publications and excellent spoken and written communication skills are required.