Dr. Vibha Jawa's career shows a powerful strategy: learning drug development fundamentals in large companies (Amgen, Merck) and applying them in nimble startups. This cycle across different environments accelerates learning and deepens expertise in a specialized field like immunogenicity.

A significant number of Eli Lilly's compelling inventions came from unsanctioned projects. The company intentionally provides budget flexibility and avoids micromanagement at its R&D sites, allowing scientists to pursue their curiosity.

Responding to Wall Street pressure to de-risk, large pharmaceutical firms cut internal early-stage research. This led to an exodus of talent and the rise of contract research organizations (CROs), creating an infrastructure that, like cloud computing for tech, lowered the barrier for new biotech startups.

The relationship between AI startups and pharma is evolving rapidly. Previously, pharma engaged AI firms on a project-by-project, consulting-style basis. Now, as AI models for drug discovery become more robust, pharma giants are seeking to license them as enterprise-wide software suites for internal deployment, signaling a major inflection point in AI integration.

Winning a 'Golden Ticket' from a major pharma company like Servier provides more than just lab space. It acts as a powerful external validation of the science, which in turn helps the startup gain credibility to win additional awards and attract investment from other major players like Eli Lilly and Ono Pharma.

With patent cliffs looming and mature assets acquired, large pharmaceutical companies are increasingly paying billion-dollar prices for early-stage and even preclinical companies. This marks a significant strategic shift in M&A towards accepting higher risk for earlier innovation.

When seeking partnerships, biotechs should structure their narrative around three core questions pharma asks: What is the modality? How does the mechanism work? And most importantly, why is this the best differentiated approach to solve a specific clinical challenge and fit into the competitive landscape?

To avoid the pitfalls of scale in R&D, Eli Lilly operates small, focused labs of 300-400 people. These 'internal biotechs' have mission focus and autonomy, while leveraging the parent company's scale for clinical trials and distribution.

During a dismal post-tech-bubble market, Alnylam secured crucial early funding from pharmaceutical giants. These partners saw the long-term potential of RNAi and were willing to invest when public markets were risk-averse, highlighting pharma's role as a source of patient, visionary capital for platform technologies.