News

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

Learn about this model that predicts survival and disease outcome in patients with head and neck squamous cell carcinoma.

NHGRI’s Dr. Andy Baxevanis is recruiting a postdoctoral fellow to develop and apply bioinformatic approaches to large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that have putative roles in disease causation.

If you analyze secondary data to enhance cancer risk prediction, seize this opportunity! Funding is available to those who want to create innovative data analysis techniques (that use existing data) for a better understanding of cancer risk and related outcomes.

In a recent study, NCI-funded researchers applied an artificial intelligence model to lung screening computed tomography images to assess body composition. The team used two key indicators of health—skeletal muscle and fat (adipose) tissue—to predict death from lung cancer, cardiovascular disease, and other causes.

The Integrative Tumor Epidemiology Branch of the NCI Division of Cancer Epidemiology and Genetics wants to fill multiple doctoral bioinformatics scientist positions.

PepQuery2 is a proteomics tool that enables rapid and targeted identification of both known and novel peptide sequences in proteomics data sets. The tool aims to provide valuable data sets for the broader research community by making public proteomics data more accessible and user-friendly.

Data scientists and cancer researchers—you can receive funding to improve cancer screening and other preventive services in populations that experience health disparities.

CAFCW23 brings together data and computational scientists, cancer biologists, and developers interested in accelerating the progress of computationally and data-driven cancer research and clinical applications.

With the help of an NCI SBIR grant, Enspectra Health, Inc., is blending deep learning algorithms with existing imaging technology to create a new way of obtaining a virtual biopsy.

Learn more about this position if you, or someone you know, has expertise in bioinformatics and computer science!