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We are seeking a motivated post-doctoral fellow to work on problems associated with RNA-seq data. The ideal candidate will have a strong background in two of the following areas: statistics, computer science, biology. They should be a good communicator with an ability to write and give oral presentations. The ability to analyze large complex data sets is essential. The candidate should have a good familiarity with modern sequencing technologies and an ability to use and interpret currently available computational tools for the analysis of RNA-seq data.
Who you are
A PhD in computational biology, genomics, or a related field, along with proficient programming skills and first-author publications in reputable journals, is required. A good understanding of the next generation sequencing technologies and related methodology is important. Knowledge of cancer-related pathways is desirable. The successful candidate must be motivated, capable of working independently, and enjoy working in a collaborative setting.