Cancer Data Science Pulse

Training

Hear from CBIIT’s Chief of the Clinical and Translational Research Informatics Branch as he gives advice on how to conduct a research project using data science and the value data science brings to supporting the cancer research community.

How can data science support your cancer research? Explore this helpful quick start guide to find out! We’ll show you an overview of how data science enhances cancer research and how you can get started applying it to your work.

Watch our time capsule video to learn about the current status of the field and new technologies that are sure to be important as we embark on the next era of cancer data research.

We asked 8 of our data scientists across the National Cancer Institute to share their advice and career journeys to help you answer the question—what should I know to start my career in cancer data science?

Whether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.

CBIIT’s NIH Data and Technology Advancement (DATA) Scholar, Dr. Jay G. Ronquillo, offers a bird’s-eye view of cloud computing, including tips for managing costs, access, and training to help advance precision medicine and cancer research.

Staying afloat in today’s torrent of data sets, tools, and applications calls for both a deep knowledge of cancer, as well as the know-how to apply highly specialized technological solutions. A new resource from NCI’s Informatics Technology for Cancer Research program gives researchers, with varying skills and experience, the training they need to manage technology-driven approaches to cancer research and care.