Enabling Biomedical Research With High-Quality Information Technology
Each day, 40,000 members of the National Institutes of Health (NIH) community, working in more than 400 buildings and facilities, rely on CIT to perform world-class research. As one of NIH’s 27 institutes and centers, we collaborate with the NIH intramural community in the areas of computational bioscience, engineering, informatics, and statistics to help make biomedical discoveries that protect and improve our nation’s health.
NIH has benefited from a number of CIT-managed programs and critically needed IT infrastructure upgrades, including:
- A world-renowned supercomputer that allows researchers to conduct large-scale data analyses
- A state-of-the-art network that enables research across NIH and around the world
- Cloud-based services that give researchers a cost-effective way to access datasets and advanced computational tools and services
- The latest collaboration tools to promote flexibility and productivity
Offices & Service Areas
CIT is structured to facilitate the efficient delivery of IT and scientific computing services and support to NIH.
The Office of the Director manages and evaluates CIT's programs, policies, and procedures and provides analysis and guidance for developing IT services, systems, and security.
The Office of IT Services Management directs service areas that provide NIH with a variety of IT services such as user support, identity and access management, high-performance computing, and network cabling. OITSM is led by Xavier Soosai, Director of OITSM.
The Office of Administrative Management supports CIT finance, human resources, contracts, acquisition, procurement, communication, and administration. OAM is led by Jill Gaffey, Director of OAM and Executive Officer, and Kevin Davis, Deputy Executive Officer.
Administrative Management Group
AMG provides administrative support on business matters at CIT.
Acquisition Planning and Management Group
APMG oversees CIT's acquisition activities and advises staff on strategic sourcing initiatives.
Financial Management Group
FMG supports CIT’s budgetary and financial functions and responsibilities.
Management Analysis and Policy Group
MAPG provides in-depth analysis to help drive business and policy decisions at CIT.
Office of Communications and Outreach
OCO helps CIT educate and inform NIH staff and stakeholders about CIT's IT services.
The Office of Scientific Computing Services directs service areas that provide NIH with a variety of scientific computing services such as cloud computing, high-performance computing, and scientific applications. The Office of Scientific Computing Services is led by Dr. Andy Baxevanis, Acting Scientific Director.
Cloud Computing Services provides cloud computing infrastructure, tools, technologies, and other related services, along with support and training for NIH data science activities and the NIH research community.
Scientific Application Services develops and implements advanced algorithms and data visualization applications to quickly and efficiently meet the biomedical imaging and informatics needs of the NIH research community.
High-Performance Computing Services provides NIH’s core enterprise-wide, high-performance computational environment, training, and technical expertise to the NIH research community.
CIT's executive leadership is responsible for the oversight and management of CIT’s day-to-day operations and service areas that provide IT management, services, and support to NIH.
Andrea Norris joined other NIH senior leaders to discuss how cloud computing enhances data access, data analysis, and advances biomedical discovery.
CIT Director and NIH Chief Information Officer Andrea Norris participates on a panel about Health IT innovations, modernization, and transformation.
20 Years of Biowulf: How NIH’s Supercomputer Is Evolving with Science
From a small cluster of boxes to petabytes of data storage, Biowulf has seen exponential growth since its launch in 1999. The supercomputer’s 20th anniversary highlights its impact on the NIH and the parallel growth of computational biology, a hybrid discipline of biomedical research, life sciences, and high-volume data generation.