The biopharmaceutical industry would benefit from an incumbent workforce that is better prepared to accelerate the digital transformation in biomanufacturing by applying complex manufacturing, operations, and supply chain data to optimize biopharmaceutical production.
The Biomanufacturing Consortium for Analytics and Data engineering (BioCAD) Expansion is a collaborative technical training program replication and expansion effort centered on the West Coast.
The proposed 18-month project recruits additional team members and builds upon a NIIMBL-funded workforce training pilot launched in 2020.
Growing from 14 hours of existing introductory content, the BioCAD Expansion will:
OUTPUTS
Designed, tested, and delivered a virtual asynchronous training program in data programming for biopharmaceutical manufacturing, inclusive of four introductory and intermediate courses
Introduced the analysis of upstream and downstream processes as well as business operations and supply chain topics. It is targeted to industry professionals in non-data-science roles across bioprocess development, manufacturing engineering, scientific, and business operations roles.
Also the first program of its kind that teaches Python specifically for a biomanufacturing or bioprocessing context outside of university courses.
Piloted via a low-cost online learning platform with more than 70 collegiate and incumbent worker participants enrolling in the program (a public launch is planned in late 2023 with an additional four hours of recorded expert panels, statistical analysis tutorials, and introductory biomanufacturing content).
Fu, Q., Lee, Y. S., Green, E. A., Wang, Y., Park, S. Y., Polanco, A., Lee, K. H., Betenbaugh, M., McNally, D., & Yoon, S. (2023). Design space determination to optimize DNA complexation and full capsid formation in transient rAAV manufacturing. Biotechnology and Bioengineering, 120(11), 3148-3162. https://doi.org/10.1002/bit.28508
Wang, Y., Fu, Q., Lee, Y. S., Sha, S., & Yoon, S. (2023). Transcriptomic features reveal molecular signatures associated with recombinant adeno-associated virus production in HEK293 cells. Biotechnology Progress, 39(4). https://doi.org/10.1002/btpr.3346
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Santa Clara University
Genentech, Inc.
Keck Graduate Institute
Life Science Washington
Oregon Bioscience Association
Pfizer, Inc.