Implementing HealthOmics for Cancer Diagnostics
A major pharmaceutical company sought help in porting its aging bioinformatics pipeline from an on-premises high-performance computing (HPC) system to AWS.
A major pharmaceutical company sought help in porting its aging bioinformatics pipeline from an on-premises high-performance computing (HPC) system to AWS.
A rapidly growing multi-omics diagnostics company needed to scale its computing capacity while ensuring regulatory compliance. The existing infrastructure lacked audit readiness, secure identity management, and the ability to scale science workloads efficiently.
BioTeam partnered with a healthcare-focused investment firm, whose mission is to advance healthcare innovation by funding innovative, new biotech organizations.

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.