Johns Hopkins University
Adjunct Faculty: Data Analytics and Policy Core Curriculum
Johns Hopkins University, Washington, District of Columbia, us, 20022
Adjunct Faculty: Data Analytics and Policy Core Curriculum
Requisition #: A-151529-36Status: Part TimeType: Adjunct FacultySchool: Zanvyl Krieger School of Arts and SciencesDepartment/Program: Advanced Academic ProgramsInstitution Description:
Advanced Academic Programs (AAP) is a division of the Johns Hopkins University's Krieger School of Arts and Sciences. 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. 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
the program website .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. 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.Qualifications
Minimum QualificationsMaster'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 analysisPreferred QualificationsA 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 experienceOnline teaching experienceTraining in statistical programming and analysis using PythonProfessional experience in applied statistics, predictive modeling, machine learning, database management, and related data science topicsApplication Instructions
The position(s) will remain open until filled. Candidates must submit the following:Teaching evaluations for two most recently taught coursesThe selected candidate will be expected to undergo a background check, submit proof of educational attainment, and submit references upon request.The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. The university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic.Pre-Employment InformationThe successful candidate(s) for this position will be subject to a pre-employment background check.
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Requisition #: A-151529-36Status: Part TimeType: Adjunct FacultySchool: Zanvyl Krieger School of Arts and SciencesDepartment/Program: Advanced Academic ProgramsInstitution Description:
Advanced Academic Programs (AAP) is a division of the Johns Hopkins University's Krieger School of Arts and Sciences. 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. 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
the program website .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. 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.Qualifications
Minimum QualificationsMaster'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 analysisPreferred QualificationsA 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 experienceOnline teaching experienceTraining in statistical programming and analysis using PythonProfessional experience in applied statistics, predictive modeling, machine learning, database management, and related data science topicsApplication Instructions
The position(s) will remain open until filled. Candidates must submit the following:Teaching evaluations for two most recently taught coursesThe selected candidate will be expected to undergo a background check, submit proof of educational attainment, and submit references upon request.The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. The university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic.Pre-Employment InformationThe successful candidate(s) for this position will be subject to a pre-employment background check.
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