Adjunct Faculty: Data Analytics and Policy Core Curriculum

Alaska Department of Law; Falls Church (VA); Remote; USD 60,000 - 80,000; Part time

Job summary

A leading academic institution is seeking part-time adjunct faculty to teach online courses in the Master of Science in Data Analytics and Policy program. Candidates should possess a Master's degree and demonstrate experience in quantitative methods, with skills in R and Python. The role involves course development, supporting student engagement, and evaluating assignments. This opportunity is ideal for individuals passionate about teaching and fostering student success in data analytics.

Qualifications

• Master's degree with training in quantitative statistical methods required.
• Demonstrated experience with R and/or Python for programming and data analysis.

Responsibilities

• Teach courses in the Master of Science in Data Analytics and Policy program.
• Support student learning and evaluate student work.
• Contribute to course development and update course materials.

Skills

Quantitative statistical methods

R

Python

Statistical analysis

Data visualization

Education

Master's degree in related field

Job description

Salary: $7,210

Status: Part Time

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, seehttps://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 Introduction to Data Analytics and Policy (470.681), Programming and Data Management (470.768), Quantitative Methods (470.709), Data Visualization (470.673), or Maching Learning Methods and Applications (470.667). The course(s) are taught fully online and offered regularly. Candidates with online course development and teaching experience and those with experience teaching and engaging students from diverse backgrounds are of particular interest.

These 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 and Python. Topics include probability theory, descriptive statistics, data visualization, research design for causal inference, linear regression analysis, and supervised and unsupervised machine learning. Full course descriptions and an overview of our full curriculum are available on the program website. 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 and/or Python 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

Application Instructions

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.