Objective:

The interview profiles Henry Day’s work developing Illumina sequencing technologies and his views on analytical science in R&D, emerging analytical challenges, and his career.

Approach:

• Research focus: Day works on developing Illumina’s next-generation sequencing technologies. His team characterizes novel molecules and reagents to understand and improve their performance and stability.
• Emerging trends and challenges: Day describes the expansion of genomic testing and multiomics as bringing a wider variety of molecule types, more complex reagents, and greater analytical demands. He expects AI to help process growing volumes of data, while analytical scientists focus on robust experimental design, asking useful questions, and critically interpreting AI-generated insights.
• Role of analytical science: Day argues that analytical characterization should begin early in R&D, rather than being used mainly at the quality-control and production-transition stages. He says early characterization can support innovation and molecule design.
• Career and outside interests: After considering academic roles, Day joined Illumina and became the first purely analytical chemist hired into its chemistry development team. He says international long-range target shooting has reinforced precision, discipline, preparation, teamwork, and consistency.

Key Findings:

• Day’s work involves characterizing molecules and reagents used in developing Illumina sequencing technologies.
• He identifies larger molecules, lower concentration limits, varied formulations and matrices, and multidisciplinary data as challenges for analytical scientists.
• He expects AI to increasingly assist with processing analytical data and accelerating discovery.
• Day argues that early analytical characterization can support innovation and molecule design; the interview provides no measured evaluation of this claim.

Interpretation:

The interview presents Day’s view that analytical science should contribute throughout R&D as well as in quality control.

Limitations:

• This is an interview presenting Day’s views, not a research study or systematic review.
• The interview reports no quantitative study results or independent assessment of the claims.

Conclusion:

Day describes analytical science as relevant across R&D, from early characterization of molecules and reagents to quality control, and expects AI to assist with data processing while scientists apply experimental design and judgment.

Sources:

• Provided article context: “Musings from The Power List: Henry Day”