APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

 

POSITION SPECIFICS

Penn State Behrend and the Susan Hirt Hagen Center for Community Outreach, Research, and Evaluation (CORE) is seeking an experienced candidate to serve as the Assistant Director of Institutional and Applied Research. This is a split position, supporting both the college’s student retention efforts and other objectives from the Strategic Plan, and supporting CORE’s applied research and evaluation efforts throughout Pennsylvania and other states.

The Assistant Director of Institutional and Applied Research interacts with, and supports, numerous academic and administrative units across the college that report to the Chancellor’s Office and may interact with units across the university.

Responsibilities for this position include:

• Collaboration within the Research and Evaluation arm of CORE, including quantitative and qualitative data collection and analyses
• Development of quantitative and qualitative experimental designs
• Project and database management
• Grant writing
• Evaluation report writing
• Survey/assessment development which support the data needs of both the College and CORE

The successful candidate will possess extensive training and/or experience in both quantitative and qualitative experimental methods, and strong data analysis skills using SPSS (required), MPlus and/or R (strongly preferred), and at least one qualitative analysis program (e.g., NVivo). 

An understanding of predictive analytics, or a willingness to learn, is strongly preferred. Ability to organize, implement, and transcribe individual and focus group interviews in a research context is also preferred.

The successful candidate should be proficient in correlational (e.g., multiple regression) and experimental (e.g., ANOVA) designs, and familiar with path analysis and longitudinal techniques (e.g., Structural Equation Modeling, Hierarchical Linear Modeling). The successful candidate should also excel in interpersonal communication and team building, show initiative in seeking outside funding opportunities, and be comfortable working independently. Institutional research activities will rely on the incumbent’s experience to generate sound strategies and research programs for clients utilizing tools including LionPath, iTwo, and other university resources.

This position will be filled as Assistant Research Professor