New

Assistant Research Professor

The Pennsylvania State University
remote work
United States, Pennsylvania, University Park
201 Old Main (Show on map)
Feb 24, 2026
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. Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants. This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding. POSITION SPECIFICS The Quantitative Developmental (QuantDev) Systems Group within the Social Science Research Institute at Penn State University is seeking an Assistant Research Professor who has experience in application of quantitative (e.g., data science, statistical, and latent variable) analytic techniques to social, behavioral, and health sciences domains or similar. The successful candidate will help support data management and analytic needs for cross-disciplinary projects of QuantDev faculty, and assist the QuantDev unit in providing statistical and methodological consultations on development and application of latent variable methods; implementing testable models of causal processes in development, family systems, education, and health; and providing power analysis and other analytic support for grant applications. Collaborations on research projects with peers and students are strongly encouraged. There are also good opportunities to engage in teaching and dissemination activities. A Ph.D. in a Quantitative Social and Behavioral Science area (e.g., Quantitative Psychology, Quantitative Human Development and Family Studies, Quantitative Sociological Research, Behavioral Data Science), Statistics, Biostatistics, Data Science, or related disciplines is preferred. Requirements for this position are: Demonstrated cross-disciplinary skills in applying quantitative and data science techniques Familiarity with R/RMarkdown and Python Background knowledge of latent variable models and software such as Lavaan, OpenMx, and MPlus Ability to apply big data analytic techniques and corresponding data wrangling Excellent communication skills, both oral and written Excellent interpersonal skills Ability to work well as part of a team Interested candidates mustsubmitan online application atPenn State's Job Posting Board and should upload the following application materials: a letter of interest, CV or resume, and a list of three references with contact information. Review of applications will begin immediately and will be accepted until the position is filled. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. BENEFITS Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission. 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