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Palo Alto University

Student Assistant II

Posted 2 days ago
$22 per hour
0-2 years experience
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AI Summary

The consultant provides guidance to students and faculty on research design, statistical analysis, and data management methodologies. They also conduct independent research to recommend appropriate analytical solutions and maintain knowledge of current statistical tools.

Research Design and Data Analysis Student Consultants (RDDA Student Consultant) 

Job Description 


Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addressing pressing and emerging issues in the fields of psychology and counseling that meet the needs of today’s diverse society. The students at PAU reflect the diversity of the region, are engaged in their education, and committed to improving the lives of others. The University sees diversity in its staff and faculty as very important to serving its diverse student body (or synonymous with inclusive excellence). PAU offers undergraduate and graduate programs with online, hybrid and residential options. PAU has an engaged faculty who make significant contributions to their fields and prepare future leaders who make a difference in the lives of individuals and communities. When you put all of this together, PAU creates a legacy of confident, competent, and compassionate professionals who are at the forefront of psychology and counseling and who move ahead in life by moving lives ahead. 


Position Description

Job Title: RDDA Student Consultant 

Department: Research Design and Data Analysis Center & Psychology Department

Reports To: RDDA Manager 

Location: Remote and/or in Person on campus

Employment Status: Part Time ( no more than 10 hours per week) 

Employment Rate: $22 per hour 


Summary

The Research Design and Data Analysis (RDDA) Consultant is a PAU student employee who provides consultation to PAU students, faculty, and other members of the PAU community on research design, research methodology, data analysis, and statistical methods. Through one-on-one consultation, RDDA Consultants provide guidance and recommendations to help researchers make informed methodological and analytical decisions for doctoral dissertations, faculty publications, and other scholarly research.


Specific Duties and Responsibilities

  • Provide consultation to PAU students, faculty, and other members of the PAU community regarding research design, statistical analysis, and data analysis methodologies.
  • Advise researchers on best practices for data collection, data management, and data integrity to ensure the quality and reliability of research outcomes.
  • Conduct independent research to identify and recommend appropriate methodological and statistical solutions to research-related inquiries.
  • Maintain current knowledge of research methods, statistical techniques, and relevant analytical tools to support consultation services.
  • Meet with the RDDA Manager bi-weekly for supervision.
  • Perform other duties and responsibilities as assigned by the RDDA Manager.

Required Qualifications:

To perform this position successfully, the student employee must be able to perform each essential duty satisfactorily. The qualifications listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

  • Current PAU student in good academic standing.
  • Successful completion of doctoral level Research Methods, Statistics, and Psychometrics courses.
  • Demonstrated knowledge of research design, quantitative research methods, and statistical analysis.

Preferred Qualifications

  • Experience serving as a Teaching Assistant Research Methods, Statistics, and/or Psychometrics courses.
  • Completion of additional coursework or applied experience in advanced statistical or quantitative methods (e.g., structural equation modeling, multilevel modeling, or longitudinal data analysis).
  • Experience using statistical software (e.g., SPSS, R) to conduct data analyses.
  • Strong interpersonal and communication skills, with the ability to explain statistical and methodological concepts to individuals with varying levels of research experience.

Application Procedures:

PAU is committed to providing an educational environment that supports a diverse, equitable and inclusive population. Please include your curriculum vitae with references in the application. 


EEOC Policy: 

The University is an equal opportunity employer and is firmly committed to non-discrimination in its hiring and other employment practices and in the application of its personnel policies. In compliance with all applicable federal and state laws, except where a bona fide occupational qualification exists, employment decisions will be made irrespective of the staff member's race, color, religion, religious creed, ancestry, national origin, age (except for minors), sex, marital status, citizenship status, military service status, sexual orientation, medical condition (cancer-related or genetic condition), disability and/or any other status protected by law. When necessary, the University will reasonably accommodate individuals with disabilities, if the individual is otherwise qualified to safely perform all essential functions of the position and if it will be done without undue hardship to the University.





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