Damon Runyon Quantitative Biology Fellowship Award

Computational biologists apply theoretical principles and develop analysis and inference methods to decipher and understand biological systems. They are experts in quantitative approaches, data science and algorithms, while also having in-depth knowledge of complex biological processes. Particularly in cancer biology, there is a growing need for computational biology leaders with expertise and understanding in both quantitative and biological sciences. 
  
The purpose of the Damon Runyon Quantitative Biology Fellowship is to identify computational scientists who innovatively combine quantitative analyses and modeling to solve biological questions. To achieve this goal the award program will support computational scientists who are deeply connected to biology labs so that they can bring their computational skills to bear on important biological questions, particularly in cancer. Additionally, the proposed mentored research training must reflect the individual's potential to develop into a productive, independent cancer research scientist. 
  
This award program encourages scientists, trained in fields such as mathematics, computer science, physics, engineering, and/or a related field, to pursue research careers in computational biology under the joint mentorship of leaders in both computational science (“dry lab”) and cancer biology (“wet lab”). By investing in this area, Damon Runyon will bring additional attention to the importance of these specially trained scientists for making meaningful progress in cancer biology. The Foundation encourages all theoretical and experimental research relevant to the study of cancer and the search for cancer causes, mechanisms, therapies and prevention including molecular approaches to cancer prevention for inherited cancers.