News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Are you planning to attend this year’s American Association for Cancer Research (AACR) Annual Meeting? Make sure to add these NCI-affiliated data science activities to your schedule!

Looking to become more familiar with artificial intelligence and GitHub for your data science needs? Check out these two courses from the Informatics Technology for Cancer Research Training Network.

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

Let NCI know what improvements you’d like to see when it comes to support for early career cancer researchers and trainees in data science.

Apply for a summer internship opportunity at NCI’s Center for Biomedical Informatics and Information Technology! You’ll spend 10–16 weeks understanding and practicing data sharing, aggregation, and analysis.

Learn more about this mentorship program for students and scientists from diverse backgrounds. Past awardees have gained research experience in cancer data science!

You can use the funding to support data science training related to research on infectious- and immune-mediated disease, including cancer.

Interested in cancer research? Apply for the Division of Cancer Biology’s Summer Undergraduate Research Program! Students will learn about solving complex problems through interdisciplinary research, bioinformatics, and mathematical modeling.

NCI designed the Cancer Moonshot Scholars program to advance cancer science while also diversifying the pool of NCI-funded researchers. NCI encourages investigators from diverse backgrounds, including data scientists, to apply by November 8, 2022.

NIH Data and Technology Advancement Scholar Dr. Jay Ronquillo was among the inaugural class earning the AMIA Health Informatics certification. Learn about the benefits of possessing this certification within the fields of health informatics and data science.