Industry Challenges

Post Its

The life science industry is at a tipping point. Analyst after analyst refers to "busted" business models and the need for "reinvention." Pharmas ponder life after blockbuster patents expire. Biotech wonders why its innovations haven't led to more profitable pipelines. Outsourcing and collaboration among research partners in industry and academia have increased as organizations seek to become more efficient, productive, and innovative. And amidst all this head-scratching, technology dominates R&D workflows, producing more and more data that organizations must figure out how to store, interpret, and share.

Ultimately, all life science companies have the same strategic goals: externalize R&D processes, simplify operational models, access external innovation, and grow more diversified businesses. We gain no competitive advantage by finding a way to search across proprietary and public sources of sequencing data or by ensuring that a single query can access data in our ELN and our outsourcing partner's system. We must instead work together to identify common challenges.

That's where Pistoia comes in. We consider industry's strategic goals in the context of three domains: scientific collaboration, chemistry, and biology/translational medicine.

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