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. Incyte wanted to establish a roadmap for Scientific Computing and investigate the potential for Labs of the Future. There was an immediate need to investigate and improve the data management within these current lab facilities. The primary challenge was how to bring together the business and IT to formulate an agreeable path forward including process changes.


RCH Services were retained to help identify compute data, business workflows, collaboration processes and other practices between the two groups. The Incyte goal was to come to a consensus of an IT Architecture including a common set of policies & principals, with guidelines and standards, toward a mutually agreeable platform of services. This would be addressed in a cooperative manner following the evaluation and recommendations of RCH and, employ industry best practices where applicable.

The evolution of Scientific Computing would happen through (3) phases:

  1. Assessment and Gap Identification
  2. IT and Business Collaboration model including separate Research IT organization
  3. Refined Compute process for data access to facilitate science.

RCH worked directly with the internal IT staff, Research scientists, and application vendors to provide the optimum scalable solution for this highly visible, dynamic environment. The project included important application testing from a variety of sources. Finally, collaboration between the many disparate IT and Business groups were necessary for adoption and success.


Following the evaluation, RCH delivered a comprehensive paper as part of an industry recognized Managed Service to provide:

  • Recommended Industry Best Practices
  • Solidify Lab Computing
  • Establish Strategic directions for Scientific Computing
  • Roll out the next generation of Bio-IT Services

Incyte will continue to prioritize R&D initiatives as the key to its continued success. Implementation of the recommended changes will allow for an even more scalable and nimble Scientific Computing environment for both the Businesses and IT.