The Experiment Factory

A data platform can drive research by moving processes towards consistency.

Scaling a biotech research program means building a series of drug programs that apply a core biological hypothesis to an expanding range of diseases, treatments, therapeutic areas, etc.

But a research program is more than just a collection of individual drug programs: The shared core hypothesis and the machinery built around it allow you to apply what you learn from one drug program to all the others.

The whole is greater than the sum of its parts.

Knowledge gained from each drug program sharpens the core hypothesis and narrows down the process for future program to the most promising directions.

It trades unconstrained exploration for more consistent outcomes.

In my latest blog post, The Experiment Factory, I explore how a data platform can help move an organization’s research program from highly flexible to the strategic consistency required to scale.