Celgene had an objective to design then build a Research Computing environment that would meet the needs of both Corporate and Research business partners. The hybrid on-premise / Cloud solution would be done in phases to gain acceptance and ensure success.
Takeda has embraced the Cloud (AWS) as a strategic platform for all facets of the business including the numerous R&D areas across the company. The company is challenged in terms of resources and expertise to support the Architecture, Engineering and Operations to facilitate Specialty Computing.
The Computer Aided Drug Design (CADD) group of Sanofi was in transition from a staff augmentation support model to a more appropriate Managed Services approach in order to support its dynamic environment.
Celgene had a need to retain operational support for an established Document Inventory and Analytics environment utilized by many business groups from Discovery through Development. The platform, known as REDDA, was developed in partnership with the Jet Propulsion Lab (JPL) and is currently hosted in the cloud via Amazon Web Services (AWS).
Incyte had a need to add focus to its Lab and Scientific Computing within R&D. The company was growing quickly and had a desire to embrace new ideas even if it involved exploring options that were not part of its existing core competency.
Support for Scientific Computing environments has extended to the Cloud. The applications, workflows and processes require an experienced skill set with the ability to adapt to the unique environment of scientific computing, where ever they may reside.
Zoetis established an initiative to create a comprehensive Scientific Computing and High Performance Computing (HPC) environment that would solve immediate business needs while also scaling to support future growth. IT resources were constrained to support such a unique initiative — the challenge was one of limited resources, limited experience, and time constraints.
The Challenge The Molecular Discovery lab of GSK sought to architect, implement and support a data management solution that could properly support their emerging Next Generation Sequencing (NGS). The first issue was implementing the proper solution in a short amount...
The Challenge The Automated Biotechnology group of Merck sought to architect, implement and support a data management solution that could properly support their new High- Throughput Screening (HTS) instruments that were an integral part of the lab. The challenge was...
The Challenge Support for scientific applications can be very complicated and demanding. Many Life Science organizations are either reducing support staff or outsourcing operations entirely. The driving force is typically to reduce costs of industry standard...