A postdoctoral position is available immediately for a highly motivated candidate to lead integrative genomic studies of childhood brain cancer. As a leader in the childhood cancer community, the Northcott Lab uses a combination of cutting edge next-generation sequencing approaches (i.e. single-cell DNA/RNA-seq, cell-free DNA-seq, ChIP-seq, and more) and functional genomics to better understand the molecular and developmental origins of childhood brain cancers, especially medulloblastoma, the most common malignant pediatric brain tumor.
The successful applicant will work in a dynamic environment alongside other bioinformaticians and wet-lab scientists in the Northcott Lab, perform integrative analysis of multidimensional genomic datasets and interact/collaborate directly with researchers in the Departments of Developmental Neurobiology, Pathology, & Oncology, as well as with several leading external collaborating groups.
This role involves detailed genomic/epigenomic sequencing analyses including ChIP-seq, ATAC-seq, RNA-seq as well as single-cell sequencing approaches of primary cancer samples, xenografts and experimental models. Proficiency in analysis of next- generation sequencing data is required, and experience with analysis of cancer genomic data sets, including integrative analysis of multimodality data is desirable. Excellent communication skills and the ability to collaborate with computational and experimental biologists are essential.
Ph.D. in molecular biology, biochemistry, computer science, statistics, mathematics, bioinformatics or related field required. Ph.D must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software).
Experience working in UNIX and LINUX environments and programming experience in Perl, Python, or statistical packages such as R are required.
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