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 skilled in conceptualizing, developing, and managing projects in clinical research informatics? Apply today to work as a clinical research informatics specialist at NCI’s CBIIT.

Are you skilled in artificial intelligence and federated learning approaches? Come work here at NCI’s CBIIT as a bioinformatics specialist! Don’t miss out on this opportunity. Apply today!

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.

The program’s Office of Data and Analytics is looking for a qualified candidate to oversee data strategy, governance, quality, and analytics. If you have a passion for data science and cohort studies, apply before March 1, 2024!

What do you think of the updated Strategic Plan for Data Science from NIH? Respond to this Request for Information by March 15!

Interested in blending clinical and genetic data? Upgrades in cBioPortal can help you work with these very different data types to better understand cancer and how it progresses over time.

Participate in the upcoming challenge to assess NCI Cancer Research Data Commons' compatibility with AI/ML technologies.

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

What if you could predict how a chemotherapy drug would work—in terms of sensitivity and side-effects—before you ever use it? NCI-funded researchers are using machine learning models to better understand a key mechanism underlying cancer, giving us new ways to predict responses to common chemotherapy drugs.

Do you specialize in pancreatic cancer? See how researchers are using artificial intelligence to find undetectable cancers on scans of seemingly normal pancreases, long before clinical symptoms are visible.