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Institution Description:

Advanced Academic Programs (AAP) is a division of the Johns Hopkins University's Krieger School of Arts and Sciences. As part of the nation's first research university, AAP offers high-quality master's degrees at its Washington, D.C., Center, at JHU's Homewood Campus in Baltimore, Maryland, and online. AAP distinguishes itself through its intensive instructional assistance, selective admissions, and 60 dedicated full-time faculty. Tenured Krieger School faculty members serve as program chairs to oversee the academic rigor of AAP's graduate offerings. JHU is committed to hiring candidates who, through their teaching and service, will contribute to the diversity and excellence of the academic community. For more information, see https://advanced.jhu.edu/.

Position Description:

The Advanced Academic Programs (AAP) division seeks non-tenure track adjunct faculty to teach one of several courses within the Master of Science in Data Analytics and Policy program. Specifically, we are seeking instructors qualified to teach Probability and Statistics (470.681), Programming and Data Management (470.768), Quantitative Methods (470.709), or Data Visualization (470.673). The course(s) will be taught fully online beginning in the spring 2025 semester. Candidates with online course development and teaching experience and those with experience teaching and engaging students from diverse backgrounds are of particular interest.

These four courses are part of the core curriculum in the Data Analytics and Policy program. The courses introduce learners to statistical analysis and programming using R. Topics include probability theory, descriptive statistics, data visualization, research design for causal inference, and linear regression analysis. Full course descriptions and an overview of our full curriculum are available on the program website (https://advanced.jhu.edu/academics/graduate/ms-data-analytics-policy/degree-details-and-courses/) . The program has course templates for each course from which the candidate will teach. Faculty duties include supporting student learning, evaluating student work, and working with the Program Director to revise and update course materials as needed.

These courses are taught on a regular basis with semester-length contracts. Adjunct faculty may be included in future course development projects. The salary for this position is: $7,210.

Minimum Qualifications

• 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 doing original work using R for programming, data visualization, and statistical analysis

Preferred Qualifications

• 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 Python

• Professional experience in applied statistics, predictive modeling, machine learning, database management, and related data science topics

The position(s) will remain open until filled. Candidates must submit the following:

• Cover letter

• Curriculum vitae

• Teaching evaluations for two most recently taught courses

The selected candidate will be expected to undergo a background check, submit proof of educational attainment, and submit references upon request.

Job Type: Part Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.