Salary
💰 $85,500 - $149,800 per year
Tech Stack
PythonScikit-LearnTensorflow
About the role
- Reporting to the Manager of Digital Scholarship and Data Services; lead the development of AI research support services at the libraries.
- Develop and lead workshops, guides, and training that foster AI literacy and encourage the thoughtful and responsible integration of AI tools into research design and academic writing.
- Develop user-facing resources such as guides, tutorials, and code notebooks to support researchers in learning and applying AI methods and using AI tools independently.
- Develop and promote guidance on ethical and responsible AI use, including best practices for ethical integration, attribution of AI-generated content, and compliance with institutional and disciplinary standards and policies.
- Collaborate with campus partners—including academic departments, the Data Science and AI Institute, Center for Teaching Excellence and Innovation, and IT@JH—to support shared goals around research innovation and AI.
- Collaborate across the libraries to develop an AI staff training program that equips librarians with the knowledge and skills to support patrons on AI-related questions, tools, and ethical considerations.
- Conduct outreach and build relationships with researchers, faculty, and students on their evolving needs around AI.
- Perform other duties as assigned.
Requirements
- Demonstrated knowledge of AI systems, such as generative AI, natural language processing, or machine learning.
- Demonstrated ability to teach or develop instructional materials on AI tools or concepts, including workshops, tutorials, or course-integrated sessions.
- Strong understanding of current conversations around responsible and ethical AI use, especially in research contexts.
- Familiarity with the ethical, legal and social implications of AI use in scholarly and public contexts, and a willingness to engage in continuing learning on these topics.
- Excellent communication skills, with a proven ability to convey technical topics to diverse audiences across disciplines.
- Ability to work independently and to collaborate with diverse colleagues and patrons.
- Ability to learn and apply new skills and evidence of ongoing self-directed learning.
- Commitment to ensuring that everyone at JHU feels welcome and supported as they seek to explore, understand, and engage in the use of AI.
- Proficiency with relevant programming languages (e.g., Python, R) and frameworks (e.g., scikit-learn, Hugging Face, TensorFlow).
- Bachelor's Degree.
- Five years of related experience.
- Preferred: Degree in data science, computer science, information science, or a related field.
- Preferred: Experience using AI methods in research or applied settings.
- Preferred: Experience supporting researchers or students in the application of AI tools—especially in a university, lab, or academic library setting.