NIH Prioritized Projects for DATA Scholars

The National Institutes of Health is made up of 27 different components called Institutes and Centers and a central Office of the Director. Each project below is sponsored by a different institute, center, or office within the NIH, which will be listed at the top of each description.

See the full announcement at https://datascience.nih.gov/data-scholars.

Topics for individual projects are intended to represent key areas of expertise involved in the overall project. Candidates need not be experts in all key areas to apply to a project.

• ​Accelerating Clinical Adoption of Machine Intelligence Applications in Medical Imaging
  • Topics: AI/ML, cloud computing, cybersecurity, data harmonization, data repositories, data sharing, software development
• Advancing Interoperability for Environmental Health
  • Topics: data harmonization, data sharing, informatics, interoperability, software development
• Architecting Search Across Petabyte-Scale Genomic Sequence
  • Topics: AI/ML, cloud computing, data sharing, informatics, software development
• Artificial Intelligence, Machine Learning, and Deep Learning Approaches to Analyze Alzheimer's Disease Data
  • Topics: AI/ML, data management, data harmonization, data sharing, project management
• Cloud-Native High-Performance Computing for Bioinformatics with Complex Data
  • Topics: cloud computing, cybersecurity, HPC, human-centered design, software development
• Developing a Cloud-Based Platform for Heart, Lung, Blood, and Sleep Research
  • Topics: AI/ML, cloud computing, cybersecurity, data harmonization, data sharing, interoperability, software testing
• Expanding Theories of Brain Circuits Using Knowledge Integration
  • Topics: AI/ML, data harmonization, data sharing, knowledge graphs, model building
• Harnessing Data Science for Health Discovery and Innovation in Africa
  • Topics: data management, data sharing, project management, software development
• Innovative Solutions for Data Harmonization, Mobile Analytics, and End-User Support
  • Topics: AI/ML, chatbot, cloud computing, data harmonization, data sharing, NLP, software development
• Interoperability of NIH Cloud-Based Platforms for Genomics Research
  • Topics: cloud computing, data harmonization, data sharing, interoperability, project management
• Supporting Cancer Knowledge Extraction Through the Cancer Research Data Commons
  • Topics: AI/ML, API development, cloud computing, data harmonization, data management, data sharing, interoperability, knowledge graphs