News

NCI is looking for cancer researchers who need access to comparative oncology data sets to give feedback on the Integrated Canine Data Commons (ICDC) data portal and its tools.

In RAS-related diseases, such as cancer, mutations in the RAS genes or their regulators render RAS proteins persistently active. Investigating RAS activation events is challenging when using conventional techniques. An unprecedented multiscale platform is using machine learning to change that.

Do you have experience guiding the development of data analytics capabilities and managing the use of intramural and extramural cancer data in a large research organization? If so, consider joining NCI’s Center for Biomedical Informatics and Information Technology as Chief of Data Ecosystems Branch in the Informatics and Data Science Program.

Do you have experience supervising clinical and translational informatics in cancer research and overseeing significant resources in a large research organization? If so, consider joining NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) as Chief of the Clinical and Translational Research Informatics Branch (CTRIB) in the Informatics and Data Science Program.

NIH needs input on potential updates to the NIH Genomic Data Sharing Policy! As a researcher or data scientist, share your perspective related to cancer genomic data to help the policy keep pace with evolving scientific opportunities and stakeholder expectations. Responses to the Request for Information will be accepted through February 28, 2022.

Put your bioinformatics and computer science skills to the test in NCI’s Center for Cancer Research! Work alongside Cancer and Developmental Biology Laboratory principal investigator labs to analyze and integrate bioinformatic and quantitative developmental biology data.

NCI DATA Scholar Dr. Jay G. Ronquillo recently published a study using NIH “All of Us” data and NCI’s Cancer Research Data Commons to better understand pharmacogenomic prescribing and testing patterns across the United States.

NCI’s Center for Cancer Research invites applicants with image processing, machine learning, and deep learning experience to be considered for a federal image bioinformatics scientist position supporting the Artificial Intelligence Resource. The successful candidate will develop and implement automated imaging and data processing workflows to analyze large image data sets generated by confocal microscopes.

NCI’s Informatics Technology for Cancer Research (ITCR) program supports a wide range of cancer informatics tools. Curious to see what those tools are and how they are integrated? Check out the ITCR Connectivity Map!

NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) invites college students to join CBIIT for an 8–12 week paid internship opportunity in Summer 2022.