Senior Analyst IT, Research Computing - AI Engagement Specialist
Be You.Research Computing at Duke University is looking for a Senior Analyst IT, Research Computing AI Engagement Specialist to help researchers effectively use artificial intelligence in their work. In this role, you will partner directly with faculty, students, and research staff to integrate AI tools-such as large language models, notebooks, and emerging AI platforms-into everyday research workflows.
You will focus on adoption, usability, and real research impact, helping translate complex research problems into practical, AI-assisted solutions. If you enjoy teaching, consulting, and building bridges between advanced computing services and researcher needs, this role offers an opportunity to shape how AI accelerates discovery at Duke.
Minimum Requirements:
- Bachelor's degree in a quantitative, scientific, or computational discipline, or equivalent experience.
- Strong proficiency in scientific programming and analysis (e.g., Python, MATLAB, R, C/C++).
- Experience working in research computing or HPC environments.
- Ability to translate research goals into effective computational workflows.
- Strong communication and facilitation skills for working with diverse research communities.
Preferred Qualifications:
- Experience supporting or conducting academic research.
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Experience with AI tools (e.g., copilots, LLMs) in coding and data analysis workflows.
- Experience designing or delivering technical training or workshops.
- Advanced degree in a computational, engineering, or scientific field.
Work Arrangement:
This position is hybrid eligible. Work is primarily based in Durham, NC, with approximately two on-site days per month and occasional travel within North Carolina.
Be Bold.- Partner with researchers to integrate AI tools into coding, data analysis, and documentation workflows.
- Provide one-on-one consultations and embedded support for research groups adopting AI-enabled workflows.
- Design and deliver workshops on AI-assisted coding, LLMs in research, and reproducible AI workflows.
- Lead and contribute to semester-based collaborative AI research projects.
- Develop documentation, tutorials, and example workflows to support scalable AI adoption.
Choose Duke.At Duke University, Research Computing supports world-class research across all disciplines. You will work alongside engineers, data scientists, and research facilitators who are passionate about enabling discovery through advanced computing. Duke offers a collaborative, mission-driven culture, opportunities for professional growth, and a competitive benefits package that supports your well-being and career development.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.
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