We are recruiting a new computationally-oriented Postdoctoral Fellow to work as part of a multidisciplinary NCI-funded Program grant focused on developing better ways to treat adult acute myelogenous leukemia (AML) and glioblastoma multiforme (GBM). Both of these tumors are therapeutically challenging, often rapidly lethal and in need of new and better therapies.
Position background: This position is jointly funded by UW and ISB-based members of an NCI Program grant. The successful applicant will work with an interdisciplinary team of computational biologists, basic scientists and clinicians to leverage large scale cancer genomics data and tools to:
- Integrate and analyze genomic data on AML and GBM produced by The Cancer Genome Atlas (TCGA) with tumor genomics data available in other public resources, including mutation databases and cancer cell line screening datasets, in order to guide project research focused on these tumors.
- Integrate and interpret project-generated data, such as expression profiling, copy number variation, mutation typing, and drug screen data in the context of TCGA tumor type-specific and pan-cancer data.
Experimental work within the Program group is focused on the role of clonal and subclonal mutations as determinants of response and treatment outcomes; the role of DNA replication abnormalities in AML and GBM genomic instability and therapeutic response; and chemical and genomic strategies to identify new markers of response and more effective linked therapies. This work utilizes cell lines, xenografts and patient tissues as resources. Analyses of locally generated data using these resources will incorporate data from TCGA and will leverage computational tools that have been developed at ISB in their role as a TCGA Genome Data Analysis Center.
This position will provide an excellent opportunity to work and train as part of a highly motivated interdisciplinary team in the rapidly developing areas of cancer genomics and precision cancer care.
The ISB and UW, both based in Seattle, are leading research institutions in the fields of computational and systems biology, basic science and clinical care.