In response to the need to train oncology professionals capable of harnessing the power of big data and emerging health information technologies, the National Cancer Institute (NCI) has developed an innovative oncology fellowship program for qualified radiation oncologists.
The one-year fellowship will provide the fellow with the opportunity to develop and apply cutting-edge oncology data science knowledge to mentored research opportunities at both NCI and the Food and Drug Administration (FDA) Information Exchange and Data Transformation (INFORMED) program. Fellows will also have the opportunity to deliver clinical care at the NCI.
Nested within the newly formed Oncology Center of Excellence at FDA, which is responsible for making safe and effective drugs, devices and biologics for cancer and hematologic conditions available to the public, INFORMED is a data science and health technology incubator that provides a sandbox for collaborative research using aggregated clinical trial data sets in addition to emerging sources of clinical evidence from electronic health records (real world data), mobile sensor technologies and "omics" (e.g., genomics, proteomics) pipelines.
At FDA, the fellow will serve as a key member of the INFORMED research team, developing and conducting primary research in a uniquely collaborative and forward-thinking environment. The fellow will develop research proposal(s) and work with FDA leadership in conducting and scaling his/her efforts. The fellow will also have the opportunity to interact with key stakeholders representing health technology, biomedicine, professional organizations, patient advocacy and other federal agencies. The fellow can also play a key role in developing programs and policies arising from the research activities of INFORMED.
Kevin Camphausen, MD (NCI) [Fellowship Director]
Sean Khozin, MD, MPH (FDA INFORMED)
Anand Shah, MD, MPH (FDA INFORMED)
Who should apply:
• Radiation oncologists looking to develop in-depth expertise in data science, health technology, entrepreneurship and big data analytics
• Completion of an accredited training program in radiation oncology
• Prior quantitative coursework
• Prior introductory programming coursework preferred but not required
Please submit a brief cover letter and CV to Dr. Kevin Camphausen. The position will be filled on a rolling basis.