How to use a Data-Driven Approach for External Innovation as a Biotech Company with Biogen
Lili Peng, Associate Director – Scientific Ecosystem Analytics Lead, Biogen
A Data-Driven Approach to External Innovation for a Biotech Company
Abstract:
External models of R&D innovation in the biopharmaceutical industry are gaining recognition as a valuable strategy for pipeline-building and enabling creative business development engagements. At Biogen, the External Innovation Unit uses a variety of public and proprietary data sources and analytics capabilities to identify new innovation opportunities. I will also discuss how we partner with an AI company, intelligencia.ai, to apply advanced analytics to generate landscapes containing distinctive scientific and competitive intelligence metrics that drive decision-making towards engaging with external companies, as well as apply AI/ML capabilities to identify trending and emerging scientific topics from key opinion leaders in academia. Finally, I will discuss the challenges and lessons learned during the software implementation of an analytics platform, and how doing good data science commands more than just technical excellence, but strong skills in communication and relationship building amongst multiple stakeholders.
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