This project aims to serve the national interest by enhancing molecular bioscience education through implementing evidence-based teaching practices, and developing personalized, adaptable educational resources that improve student engagement, workforce readiness, and faculty teaching capacity in data science. Harnessing the magnitude of existing and potential data, and appropriately contextualizing it are crucial for advancing research and innovation within molecular biosciences. Students in this field require comprehensive training in both technical and durable data science skills, especially in understanding the cascading impacts of decisions made when interpreting data in complex ways, partially due to the prevalence of "black box" approaches that require greater scrutiny. Addressing this gap in content requires targeted educational initiatives that focus on both technical proficiency and contextual application of data science skills while accounting for external factors impacting student success. This initiative introduces the use of learner personas to develop multimodal, best-practice-informed educational materials tailored to student and faculty needs. Ultimately, these resources foster improved understanding, engagement, and application of data science in molecular biosciences. The primary goal of this project is to improve molecular bioscience education by developing learner-centered, data science–infused curricula, supporting faculty development, and strengtheni