News

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

See if any of the available grants highlighted in this Notice of Special Interest are a good fit for your data science work.

Learn more about this job opportunity to head the Biostatistics and Data Management Section of NCI’s Center for Cancer Research. The first review of applications will begin on March 13, 2023.

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.

NCI-DOE Collaboration researchers, using data from the Genomic Data Commons, have developed TULIP: a deep learning tool for classifying human RNA-seq-based tumor types.

NCI-funded researchers have developed a new artificial intelligence algorithm that’s helping identify the underlying biological causes of glioblastoma.

Support the maintenance and enhancements of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Assay Portal, including the assay characterization data within it, through a new contract opportunity. Your proposal is due March 28, 2023.

Working with cancer data? NCI’s Office of Data Sharing invites you to give feedback on the processes you use to manage and share data.

NCI is seeking support for developing machine-generated segmentations of images in the radiology collections of the Imaging Data Commons (IDC). Submit your proposals by March 10, 2023.

A new job opportunity is available supporting the Center for Cancer Research’s HIV and AIDS Malignancy Branch. The ideal candidate will possess bioinformatics and computer science experience.

NIH and NCI are participating in two funding opportunities to support the All of Us Research Program’s Researcher Workbench. These grants will help support analysis of the data for this program to advance research in cancer risk, early detection, prevention, diagnosis, treatment, cancer control, epidemiology, and health disparities.