NIIMBL Funds Eight New Biopharma Technology and Workforce Projects

May 19, 2026
The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) has announced eight new projects worth $9.7 million to advance biopharma manufacturing and workforce development. The projects focus on AI-based process optimization, real-time analytics, and training initiatives to strengthen the U.S. talent pipeline.

NIIMBL has selected eight new member-led technology and workforce development projects totaling $9.7 million in funding and co-investment through its Project Call 9.1, announced in a press release. The initiative involves 39 participating organizations focused on improving domestic biopharmaceutical manufacturing and workforce capabilities.

The technology projects address areas such as process analytics, AI and machine learning for process optimization, and new protein expression platforms for advanced therapeutics. Participants include universities and industry partners such as Michigan Technological University, University of Delaware, Massachusetts Institute of Technology, and several major biopharma companies.

Three workforce projects aim to expand interest in biopharmaceutical manufacturing careers and develop an AI-ready workforce. These include initiatives led by the University City Science Center, the National Center for Therapeutics Manufacturing at Texas A&M University, and The Wistar Institute.

Since its launch in 2017, NIIMBL has supported 230 technical and workforce projects totaling more than $216 million. The institute operates as part of Manufacturing USA, funded through a cooperative agreement with the National Institute of Standards and Technology.

We hope you enjoyed this article.

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more