Building AI Fluency Into the Biotechnology Workforce Pipeline

Biotechnology employers are already integrating artificial intelligence into everything from bioprocessing analytics to lab data management, and the workforce pipeline needs to catch up. That is the premise behind AI Essentials for Biotechnology, a two-year project funded through an NSF ATE InnovATEBIO 2.0 supplement (DUE #2349809) under Austin Community College and the InnovATEBIO National Biotechnology Education Center. Over the next two years, the project will produce six AI microcredential skills assessments and six accompanying curriculum modules, train two large cohorts of Certified Evaluators, and extend AI literacy credentialing to a substantial cohort of high school students entering the biotech pipeline. The goal is straightforward: give students and incumbent workers a validated, performance-based way to demonstrate AI competency that employers can actually trust as a hiring signal.

The project is a three-way collaboration built around distinct but interlocking roles. Dr. Linnea Fletcher, Principal Investigator of the InnovATEBIO National Biotechnology Education Center at Austin Community College, holds the prime award and provides the national network infrastructure that connects this work to InnovATEBIO's broader mission of technician workforce development. Ying-Tsu Loh, Executive Director of the Biotech and Bioscience Education Community (BABEC), brings three decades of hands-on bioscience teacher training and high school pathway development, along with BABEC's deep relationships with classroom educators across the country. Angela Consani, CEO and co-founder of Bioscience Core Skills Institute (BCSI), leads assessment design, applying BCSI's model of authentic, performance-based skills assessment, already recognized as an Industry-Recognized Credential in multiple states, to the AI competency space. Sound Research Center serves as an independent evaluator, ensuring the project's outcomes are measured with the same rigor as the credentials themselves are meant to signal.

Over the coming months, the team will convene an advisory group of industry and AI subject matter experts to guide curriculum content and validate assessment criteria against real employer needs. This is where the field's input matters most before content gets built rather than after. We are actively looking for professionals working at the intersection of AI and biotechnology, whether in bioprocessing, lab automation, data science, or quality systems, who are willing to serve on this advisory panel and help ensure these credentials measure authentic workforce-ready skills that are domain-specific to biotechnology.

We also want to hear from teachers. If you are a high school or community college instructor interested in piloting AI microcredential content in your classroom, or an administrator curious about how AI literacy fits into your biotechnology program, this project will need early partners as curriculum development moves forward. Reach out to info@bcsi.bio to get involved and watch this space every two months for progress updates as the modules and assessments take shape.