Biomedical research has become data intensive, shifting away from classical confirmatory hypotheses testing for a few clinical variables, to searching for underlying fundamental patterns governing biological phenomena and their dynamics in high dimensional variable and sample space. This has led to an increasing use of, and development of new, computational and mathematical modeling techniques within biomedicine.
We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in the Department of Cancer Immunotherapy. You will be working within our Computational and Mathematical Modeling group to study cancer phenotypes and the interaction with genetic and immune system variables. For example, you will participate in trying to deepen our understanding of the dynamics within tumor microenvironments supported by unique and growing collections of Omics data coupled with clinical data.
Your primary goals will be scientific discovery and publication (see http://www.gene.com/careers/academic-programs/postdocs), and the program is geared towards developing the career of future independent investigators.