Bioassays are a key analytical technology in the biopharmaceutical industry, ranging from basic research to drug discovery. Due to their complexity and the multiple steps needed to handle assays, it is crucial that they be optimized to develop a fit-for-purpose bioassay, especially since the assays must perform robustly if they are to be used for the release of biopharmaceutical product.

For process optimisation, design of experiments (DOE) has long been established as a more powerful strategy than a one-factor-at-a-time approach. Nevertheless, while it is known that complex interactions often exist, DOE is not widely used due to the perceived costs, effort, and complexity.

In this presentatin, we share how the implementation of DOE as a regular technique in bioassay optimisation is facilitated by identifying a key user group and providing training on JMP's DOE platform.