The Department of Psychology at the University of California, Riverside invites applications for a Postdoctoral Scholar in Quantitative Methods working in Dr. Holly O’Rourke’s lab, beginning Fall 2025 with funding guaranteed for two years with potential for renewal based on performance and funding availability. Postdoctoral salary is based on experience level. The salary range for this position will be $66,737 - $80,034. A Ph.D. in quantitative psychology, statistics, biostatistics, data science, or related field is required.
This position offers an exciting opportunity for a motivated scholar to contribute to cutting- edge research in applied statistical approaches to behavior change. Postdoctoral scholars interested in the development of statistical techniques in the areas of mediation analysis and longitudinal modeling are encouraged to apply.
The postdoctoral scholar will engage in one or more of the following research areas:
Mechanisms of Behavior Change: Advancing research in mediation analysis, including approaches to estimation of mediation outcomes with zero-inflated count distributions.
Data Science Approaches to Behavior Change: Applying group iterative multiple model estimation (GIMME) and other similar algorithms, along with machine learning, to model behavioral dynamics in health behaviors with time series and other high-dimensional data.
Research Design and Methodology: Advancing best practices in methodological research designs that utilize Monte Carlo simulations.

PREFERRED QUALIFICATIONS:

• Strong background in statistical modeling, machine learning, or software programming.
• Proficiency in programming and statistical software (e.g., R, Python, Mplus).
• Demonstrated ability to work both independently and collaboratively in an interdisciplinary research environment.
• Strong publication record and excellent written and oral communication skills.
• Experience with longitudinal data analysis, mediation analysis, and predictive modeling.
• Experience developing and maintaining R packages.
• Familiarity with Monte Carlo simulation methodologies.
• Experience working with biological wearable data, ecological momentary assessment data, or other time series data.
  View the full requirements for the positions and submit applications to: https://aprecruit.ucr.edu/JPF02069 .
  Review of applications will begin on April 21 and will continue until the position has been filled. Applications received by April 21 will receive full consideration.
  Please note that candidates are not required to have a current US work visa in order to apply; J-1/H-1B visas may be sponsored for the selected candidate.
  Please contact Dr. Holly O’Rourke hollyo@ucr.edu with any questions.
  The Department of Psychology at UCR is home to internationally recognized faculty and offers a supportive and collaborative environment for research and training. The department has rich offerings for research, teaching, and training in quantitative methods, including weekly methods training seminars, as well as a strong relationship with the Department of Statistics.
  Offers of employment are dependent on completing a misconduct disclosure and potential background check.
  The University of California is an Equal Opportunity / Affirmative Action Employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law
  Job Type: Full-time
  Pay: $66,737.00 - $80,034.00 per year

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Ability to Commute:

• Riverside, CA 92521 (Required)

Ability to Relocate:

• Riverside, CA 92521: Relocate before starting work (Preferred)

Work Location: In perso

Basic qualifications:

• A Ph.D. in quantitative psychology, statistics, biostatistics, data science, or related field

• Conduct independent and collaborative research in quantitative methods.
• Develop and apply statistical and machine learning models to behavioral datasets.
• Lead contributions to peer-reviewed publications and conference presentations.
• Engage in grant writing and dissemination of research findings.
• Mentor graduate and undergraduate students in quantitative methods.

Basic qualifications:

• A Ph.D. in quantitative psychology, statistics, biostatistics, data science, or related field.