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Internship Quantitative Psychology Jobs (NOW HIRING)

AICPA

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

... Quantitative Psychology, Educational Measurement or a related field * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered.

CIMA

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

... Quantitative Psychology, Educational Measurement or a related field * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered.

aicpa

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

... Quantitative Psychology, Educational Measurement or a related field * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered.

NYC Health Hospitals

Psychologist Level II

New York, NY · On-site

$122K/yr

... initial summarization and quantitative treatment of data, preparing research reports for ... May oversee the work of psychology interns, social workers and paraprofessional mental health ...

NYC Health Hospitals

Psychologist Level II

New York, NY · On-site

$122K/yr

... initial summarization and quantitative treatment of data, preparing research reports for ... May oversee the work of psychology interns, social workers and paraprofessional mental health ...

NYC Health Hospitals

Psychologist Level II

New York, NY · On-site

$73K/yr

... initial summarization and quantitative treatment of data, preparing research reports for ... May oversee the work of psychology interns, social workers and paraprofessional mental health ...

NYC Health Hospitals

Psychologist Level II

New York, NY · On-site

$122K/yr

... initial summarization and quantitative treatment of data, preparing research reports for ... May oversee the work of psychology interns, social workers and paraprofessional mental health ...

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How much do internship quantitative psychology jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship quantitative psychology in the United States is $17.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 per hour, depending on experience, location, and employer.

What is an internship in quantitative psychology?

An Internship in Quantitative Psychology is a temporary position where students or recent graduates gain practical experience applying statistical and mathematical methods to psychological research. Interns typically assist with data collection, analysis, and interpretation, contributing to studies on human behavior, cognition, or mental health. These internships often provide hands-on training in software tools, research design, and the publication process, preparing candidates for advanced study or careers in research, academia, or industry. Such roles are ideal for those interested in the intersection of psychology and quantitative analysis.

What types of projects do interns in quantitative psychology typically work on, and how do these contribute to their professional development?

Interns in Quantitative Psychology often work on research projects involving the development, validation, or application of statistical models to psychological data. They may assist with data collection, perform advanced analyses using software like R or SPSS, and collaborate with senior researchers on publishing findings. These experiences help interns strengthen their technical skills, gain exposure to real-world research challenges, and build a professional network, all of which are valuable for future academic or industry positions.

What is the difference between Internship Quantitative Psychology vs Research Assistant in Psychology?

AspectInternship Quantitative PsychologyResearch Assistant in Psychology
Required credentialsUndergraduate or graduate student, coursework in psychology and statisticsTypically undergraduate or graduate student, background in psychology or related field
Work environmentResearch labs, academic institutions, industry research teamsUniversities, research centers, healthcare settings
Employer and industry usageAcademic, research, healthcare, tech companiesUniversities, research institutions, government agencies

Internship Quantitative Psychology roles focus on applying statistical and data analysis skills to psychological research, often with a focus on quantitative methods. Research Assistant in Psychology positions involve supporting psychological research projects, including data collection and analysis. While both roles require a background in psychology and statistics, internships tend to be more specialized in quantitative methods, whereas research assistants may have broader research responsibilities.

What can you do with an internship in quantitative psychology?

An internship in quantitative psychology provides experience in applying statistical and computational methods to psychological research, often involving data analysis, experimental design, and programming with tools like R or Python. It prepares individuals for roles such as research assistant, data analyst, or research coordinator in academic, clinical, or industry settings. The internship also helps develop skills in data management, statistical modeling, and psychological assessment.

What are good internships for psychology majors?

Internship Quantitative Psychology roles are ideal for psychology majors interested in research, data analysis, and statistical methods. These internships often involve working with software like SPSS, R, or Python and may require strong analytical skills and knowledge of research design. They provide practical experience in applying psychological theories to data-driven projects and can enhance future career prospects in academia or industry.

What are the key skills and qualifications needed to thrive as an internship in quantitative psychology?

To thrive in an Internship in Quantitative Psychology, you need a solid background in statistics, research methods, and psychological theory, typically supported by coursework in psychology or a related field. Familiarity with statistical software such as SPSS, R, or Python, as well as experience with data collection and analysis tools, is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data accurately and convey complex findings clearly. These skills are crucial for producing reliable research outcomes and contributing meaningful insights to psychological studies.
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Internship Quantitative Psychology jobs near you
Infographic showing various Internship Quantitative Psychology job openings in the United States as of July 2026, with employment types broken down into 14% Internship, 54% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $36,531 per year, or $17.6 per hour.

Physician - Biostatistician/Quantitative Psychologist - Chicago (Downtown)

Rush University Medical Center

Chicago, IL

$114K - $146K/yr

Full-time

Re-posted 20 days ago

Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

118th of 1,054 rated hospitals

Job description

Location: Chicago, Illinois

Hospital: Rush University Medical Center

Department: Psych Adult West Cam

Work Type: Full Time

Biostatistician/Quantitative Psychologist – Clinical Faculty/Physician

 Rush University Medical Center 

Chicago, IL 

Rush University Medical Center, a nationally recognized clinical and academic institution and teaching hospital for Rush Medical and Nursing Colleges, invites application for the position of Biostatistician/Quantitative Psychologist. The position will be based at the Autism Assessment, Research, Treatment, and Services (AARTS) Center in the Department of Psychiatry and Behavioral Sciences. The AARTS Center is the region’s only comprehensive, lifespan autism center and is dedicated to addressing unmet needs of individuals with neurodevelopmental differences and their families.  

Position Summary 

Rush University Medical Center invites applications for a Biostatistician/Quantitative Psychologist to join our growing academic community. This role is designed for an expert in advanced statistical methodologies, psychometrics, and research design who is passionate about applying quantitative rigor to improve clinical outcomes and health equity.  

The successful candidate will provide high-level statistical consultation to faculty and residents, conduct independent or collaborative research, and teach within Rush University’s various health science colleges. 

Key Responsibilities

 •Statistical Consultation: Serve as a primary methodological expert for clinical and behavioral research teams, assisting in study design, power analysis, and complex data modeling. 

•Advanced Modeling: Utilize longitudinal data analysis, Structural Equation Modeling (SEM), Multilevel Modeling (MLM), and Item Response Theory (IRT) to interpret clinical data. 

•Grant Support: Collaborate on the development of grant proposals (NIH, PCORI, etc.), specifically leading the statistical and methodological sections.

 •Education & Mentorship: Teach graduate-level courses in quantitative methods and mentor psychology interns, post-doctoral fellows, and medical students.

 •Health Equity Research: Support Rush’s Anchor Mission by applying quantitative techniques to identify and address health disparities within Chicago’s underserved communities. 

•Scholarly Activity: Maintain an active portfolio of peer-reviewed publications and present findings at national conferences. 

Qualifications

 •Education: Ph.D. in Quantitative Psychology, Psychometrics, Biostatistics, or a related Psychology field with an emphasis on advanced statistical methods.

 •Technical Proficiency: Expert-level skills in statistical programming languages such as R, Mplus, SAS, Python, or Stata. 

•Experience: Demonstrated experience in a healthcare or academic medical setting. Experience with large-scale electronic health record (EHR) data is a plus. 

•Communication: Ability to translate complex statistical concepts for clinical audiences and non-statisticians. 

•Commitment: A strong dedication to diversity, equity, and inclusion in both research design and professional collaboration. 

Rush University System for Health is an academic health system integrating patient care, education, research, and community partnerships to improve health in diverse communities. 

Rush includes Rush University Medical Center, Rush University (2,500+ students across medical, nursing, and health sciences colleges), Rush Copley Medical Center, Rush Oak Park Hospital, and regional outpatient facilities.

 Rush is recognized for clinical excellence, earning placement on U.S. News & World Report's Best Hospitals Honor Roll 2025-2026 (top 20 of 5,000+ hospitals evaluated). The system received Vizient's Quality Leadership Award, ranking within the top ten among 99 academic medical centers for the 13th consecutive year. 

Rush offers competitive total compensation that includes base pay, benefits, and other incentive programs for our employees. The total pay range shown reflects the wide range of factors that are considered in making compensation decisions including, but not limited to, knowledge and skills; relevant experience and training; education, certifications, and licensure; primary work location; and other business and organizational factors. This total pay range is for a full-time, 1.0 FTE employee, and includes any incentive payments that may be applicable to this role, as well as additional compensation such as sign-on and retention bonuses and relocation allowances. Opportunities for increased compensation based on exceeding productivity targets. We also offer a comprehensive benefits package. 

Pay Range: $114,051- $146,841 

Rush offers exceptional rewards and benefits, learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits). 

Join Rush and become part of one of the nation’s best healthcare systems. 

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. 

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