Large data platform The Center operates large scale data platforms and a data ecosystem spanning over a dozen data commons with more than 10 PB of data and access to around 600,000 patients, indicating a strong need for scalable data infrastructure, security, and compliant access controls.

Biomedical data cloud Originating and continuing with the Gen3 open source data platform family, they require robust data governance, cloud-native services, and collaboration tooling tailored for biomedical research and secure partner access.

AI and ML focus A history of developing machine learning and AI algorithms on their platforms suggests opportunities for advanced analytics tooling, model governance, reproducibility, and integration with research workflows.

Academic partnerships With global collaboration and a University of Chicago base, there is potential for training, academic licensing, sponsored research, and multi-institution data collaboration solutions.

Security and compliance Operating sensitive health and biomedical data with privacy protections implies a need for top-tier security tooling, access management, audit trails, and trusted partner frameworks to support NIH/NCI-aligned data sharing.