Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science.
The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!
The fellow will be involved in both methodology development as well as the analysis of cutting-edge genomic data, such as next-generation sequencing data, metabolomics data, and genome-wide methylation data. Many challenges exist for analyzing these new types of data, providing exciting opportunities for the development of novel statistical methods. With the data being directly collected from forefront cancer-research projects at the Fred Hutchinson Cancer Research Center, this anlaysis and method development has the potential to be truly high-impact. The fellow will also have the opportunity to interact with leading experts in biomedical science, and to establish a broad research network for their future career.
Applicants should have a PhD in Bioinformatics, Computational Biology, Biostatistics, Statistics, or other relevant discipline. Experience programming in R is essential, and experience with C/C++ would be highly beneficial.
Please submit a CV and cover letter in support of your application.
To apply for this position, please CLICK HERE