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# Adjunct Faculty: MS in Data Analytics and Policy - #Faculty

- **Company:** Johns Hopkins University
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Salary:** $85,440.0 - $86,520.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Programming, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Elearning, Data Analytics
- **Published:** August 29, 2026
- **Apply:** https://www.dcjobsite.com/job.asp?id=3369491847&tx=KR5151FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Master's degree with training in quantitative statistical methods (e.g., political science, sociology, business analytics, economics, geography, public policy, psychology, or similar)
 * Demonstrated experience using R and Python for programming, data visualization, and statistical analysis, * A terminal degree with training in quantitative statistical methods (e.g., political science, sociology, business analytics, economics, geography, public policy, psychology, or similar)
 * 1-3 years of graduate-level teaching experience
 * Online teaching experience
 * Training in statistical programming and analysis using R and Python
 * Professional experience in applied statistics, predictive modeling, machine learning, database management, and related data science topics

## Description

The Advanced Academic Programs (AAP) division seeks non-tenure-track adjunct faculty to teach courses within the M.S. in Data Analytics and Policy program. The course(s) will be taught online. Specifically, the program seeks candidates with experience teaching foundational computational skills for data science, including R, Python, and database management. Candidates with specific expertise integrating AI and LLM tools into programming courses are of particular interest, as are instructors experienced in online course development and teaching. Candidates will teach and engage students from diverse backgrounds.


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