The Pancreatic Cancer Action Network’s competitive Research Grants Program funds promising and meritorious research on pancreatic cancer. The organization’s grantmaking strategy recognizes the need to maintain a pipeline of researchers at various stages in their careers dedicated to studying pancreatic cancer and acknowledges an urgency to accelerate scientific and medical breakthroughs that benefit patients.
The Pancreatic Cancer Action Network Cancer Informatics & Data Science Research Fellowship represents an effort to encourage and support doctoral and/or postdoctoral candidates to apply computational and data science approaches to available pancreatic cancer data to support important biological and/or clinical hypotheses in the field. The grants will provide funding over two years to a graduate student and/or postdoctoral fellow that will apply computational and/or data science methods to problems in pancreatic cancer research. The research proposed for funding should leverage PanCAN patient health data in the SPARK platform, and applicants are highly encouraged to submit proposals that also leverage the applicant’s own relevant data as well as other publicly available pancreatic cancer data. The fundamental biological questions tackled must have direct applicability and relevance to pancreatic cancer.
Grantees are encouraged to work under the mentorship of an interdisciplinary team of computational scientists, cancer biologists and/or clinical oncologists to address questions in pancreatic cancer.