Evolving creativity for small businesses
In the dynamic world of biotech startups, the race to deliver innovative products and services is a constant challenge. One tool that is gaining traction in this fast-paced environment is Design of Experiments (DoE), a statistical approach that streamlines the research and development process.
Take Novomer, a green polymers company, for example. By utilising DoE, they were able to streamline the development of their proprietary catalyst technology, a move that has helped them maintain focus on their mission and meet project milestones more predictably. This strategic decision has also earned them recognition as one of the 50 most innovative companies by the Massachusetts Institute of Technology.
The London DNA Foundry, at the heart of SynbiCite's facilities hub, is another example of DoE's potential. This facility houses a suite of state-of-the-art robotic equipment designed for automated end-to-end design, construction, and validation of complex genetic systems. Integrating statistical techniques like DoE directly into the design of these robotic systems has lowered the threshold of knowledge required to use these analyses, making them more accessible to researchers.
Imperial College London's SynbiCite was established in 2013 with a £28 million commitment to drive innovation in synthetic biology, particularly in creating new products and services with industrial, technology, and biomedical applications. The commitment to rigorous, scientific research is evident in SynbiCite's work, with confidence in the data and its rigor being crucial for convincing others of what is real, particularly in the context of startup culture and R&D efforts.
Danimer Scientific, a company specialising in developing and piloting environmentally friendly materials for packaging and coatings, has also received significant funding from the U.S. Department of Energy. The company's use of DoE has allowed them to evaluate multiple parameters in the same experiment, speeding up the research process and generating consistent, high-quality data.
For biotech startups, securing funding and meeting investor requirements is crucial, but discipline and scientific rigor are equally essential to keep the mission on track. As Stephen Chambers, former chief executive of SynbiCite and current Royal Society Entrepreneur in Residence at ICL, notes, DoE can help startups deliver results quickly and demonstrate the reliability, scalability, and accountability needed to secure and maintain investment.
In a seminar scheduled for 19 March 2020, Bradley Jones, JMP's principal research fellow, will be giving the keynote for an upcoming livestream seminar titled "Smart trial and error for rapid innovation." The seminar will discuss the power of using DoE to speed innovation, achieve faster, more predictable cycles, and save time. The seminar can be attended either at the Babraham Research Campus in Cambridge, UK or online.
The pressure to deliver market share is high for R&D teams across industries, particularly for startups in high-risk fields like biotech. By combining DoE with robotics, researchers can release themselves from the burden of managing mundane, repetitive tasks, enabling them to focus on interpretation and modelling. This focus on streamlining the research process and delivering high-quality, consistent data is key to securing the approximately 80% of market share that goes to the first product in a market, with about 15% going to the second and 5% spread among the rest.
In conclusion, the use of Design of Experiments (DoE) is proving to be a valuable tool for biotech startups looking to accelerate their innovation and deliver high-quality, consistent results. By streamlining the research and development process, startups can focus on their mission, meet project milestones more predictably, and secure the funding needed to bring their innovative products and services to market.
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