(October 13, 2015)
In recent years, there has been substantial growth in collaborative research that requires integration and analysis of compound and bioactivity data from multiple sources. This is necessary to enable efficient cycle time for compound optimization and effective project decisions. ScienceCloud™ is an ideal platform to enable secure collaborative data sharing in a “Cloud” and to facilitate pipelining of data to and from internal data systems. At Sanofi, we have built a service, called SHERPA, to support drug discovery research projects data sharing with external collaborators. In this webinar you will learn how to:
- Achieve up to 85% cost savings preparing and manipulating data
- Maintain a single place to review results for all your scientific collaborations
- Ensure scientific partner data is conforming to your business rules
- Rapidly spin up and spin down collaborations
We will also discuss how we envision the cloud to become our primary compute infrastructure giving us the nimbleness that is critical to stay ahead of our competition.
James Connelly, Ph.D.
Head, Research Data Management
Jim has spent most of his career managing all of the various activities involved in Drug Discovery Research. Most recently he has been a key driver for re-engineering Sanofi’s Research and Early Development Data Platform to utilize modern information technologies and to better reflect the collaborative and project-centric nature of Drug Discovery research today.
Ton van Daelen, Ph.D.
Product Director, ScienceCloud, Dassault Systèmes
Ton has product management responsibility for ScienceCloud and has been involved in ScienceCloud implementations with pharma and biotech organization. Ton’s proven track record of bringing innovative scientific informatics solutions to the market includes startup leadership in the industry standard integration platform Pipeline Pilot.