Successful companies in chemical, biotech, life-sciences process industries apply statistical methods to accelerate innovation and reduce production cost. Explore this series of industry led papers and events to learn how to discover insights in your data, reduce time to market, uncover and solve blind spots in processes.

Featured Resources

Customer Story

F-Star Therapeutics - A paradigm shift in cancer therapy

Statistical approaches to experimentation open the door to the exploration of novel biology and much-needed innovation in advanced-stage cancer.


The Art of Statistics - How to learn from data

In The Art of Statistics David Spiegelhalter shows us how to extract knowledge from raw data, think critically (like a statistician) and explains why a basic grasp of statistical literacy is more important than ever if we hope to separate fact from fiction. Read a free chapte. 

Customer Story

F-Star Therapeutics: A paradigm shift in cancer therapy

Standard biological experimentation methods today fall short of scientists’ needs in the increasingly data-rich environment of early-phase biopharmaceutical development. Biologists need alternatives to deliver more precise outcomes, more reproducibly and on a shorter time scale.

White Paper

Optimizing Processes with Design of Experiments

Has your organization outgrown one-factor-at-a-time experimentation? This paper has real-world case studies on two organizations that discovered best practices for collecting and analyzing new, relevant data to efficiently optimize their processes

CHEManager On Demand Webinar

Accelerating Drug Commercialization - Julia O'Neill

The pandemic taught us that new therapies and vaccines can be developed in a shorter time frame than ever before. Julia O'Neill talk about how pharma companies can bridge statistics and science to develop reliable products fast and cost effective.  . Strategic application of statistical modeling to stability data is on the critical path for commercialization of these urgently needed new therapies.


CHEManager: How to bridge statistics and chemical engineering

Julia O'Neill describes how  statistical analysis can be a vital tool for accelerating the discovery and creation of viable new products, and for engineering the processes through which they can be delivered at scale. This marriage is the way to get things “right first time”, reducing development risks and relieving the pressures of the modern market. 

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