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!

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!

Have a passion for data science, an interest in studying dementia, and a desire to earn a Master of Professional Studies (MPS) degree? NIH’s National Institute on Aging (NIA) and National Institute of Neurological Disorders and Stroke (NINDS) have partnered to provide you with a fellowship opportunity that includes a paid MPS degree and full work stipend.

Here at NCI CBIIT, we’re hiring a program director to support our Data Ecosystems Branch. Apply by January 26, 2024.

If you specialize in bioinformatics or computational biology, apply to study tumor heterogeneity, tumor evolution, and cutting-edge aspects of cancer genomics with NCI!

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.

Check out these paid predoctoral and postdoctoral fellowship opportunities at NCI’s Center for Cancer Research.

Come work at NCI's Center for Cancer Research (CCR)! Apply to work with CCR Deputy Director Dr. Xin Wei Wang and study genetics, genomics, and biochemical pathways related to liver cancer.

We’re seeking a qualified biomedical informatics specialist to join our CBIIT Team. Apply today for this unique opportunity to use data-driven approaches for advancing cancer research.