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”).
Open to computational scientists with an interest in the intersection between quantitative biology, data science and cancer research. Applicants must have completed one or more of the following degrees or its equivalent: PhD, MD, MD/PhD, DDS, DVM, DO. The applicant must include a copy of their diploma to confirm date of conferral. If an applicant has not yet received their PhD diploma but has successfully completed all PhD requirements, including PhD defense, they may submit a letter from the graduate school explicitly stating such, with the date of the successful PhD defense and date of degree conferral. Applicants require two committed Mentors, one from the field of computational science (“dry lab”) and one from the area of cancer biology (“wet lab”).