A U.S. cancer research medical center sought BioTeam’s expertise in assessing and creating a five-year roadmap to address its scientific computing challenges.
A leading pediatric disease research hospital needed to develop an IT infrastructure capable of meeting the current and future demands of its rapidly expanding scientific community.
BioTeam has made remarkable progress in its ongoing collaboration with a prominent government research organization, addressing critical challenges related to scientific data management, storage, collaboration, and security.
Staying at the forefront of scientific innovation is difficult for any organization, but it’s especially hard for medical research groups. One such institution, upon realizing they needed a change, decided to ease their transition by working with BioTeam.
The data science department of a national government organization was assigned the task of providing a secure and reliable clinical IT infrastructure and a variety of IT and scientific computing services to its community in support of mission-critical clinical research.
A national government organization approached BioTeam to help them understand how the organization and the IT department could better meet scientists’ needs. They faced several challenges.
A federal government agency was having problems supporting many research laboratories across the U.S., each with significant, growing computational requirements and aging infrastructure. The agency knew that to fulfill its mission into the future, it needed to address these problems.
The Enterprise network at Oklahoma Medical Research Foundation (OMRF) was a ten-year-old design. It couldn’t support the revolution in laboratory technology that has increased research data demands to far exceed the network’s 1Gbps throughput capacity. Working in collaboration with BioTeam, OMRF altered the network design to include a multi-enclave, next-generation 10Gbps network, upgradeable to 100Gbps.
BioTeam’s Adam Kraut, Bill Van Etten, and John Jacquay have been working with Bristol-Myers Squibb (BMS)’s Informatics and Predictive Sciences Business Partner, Daniel Huston on a way to help BMS unlock the potential in their existing data.