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Structural Equation Modeling Phd Jobs (NOW HIRING)

6k Systems

Educational Researcher

Montgomery, AL · On-site

... structural equation modeling, etc.). * Must demonstrate ability to teach adults on topics such as research methods and the scholarship of teaching and learning. * Must demonstrate ability to use ...

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How much do structural equation modeling phd jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for structural equation modeling phd in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

What is a Structural Equation Modeling PhD?

A Structural Equation Modeling (SEM) PhD is an advanced research degree focused on the theory and application of SEM, a statistical technique used to analyze complex relationships among observed and latent variables. Students in this program learn how to design studies, build and test models, and interpret results using SEM. Graduates often work in academia, research, or industries that require expertise in quantitative analysis and advanced statistics. The degree typically involves coursework in statistics, methodology, and hands-on research experience using SEM software.

What are the key skills and qualifications needed to thrive as a Structural Equation Modeling PhD, and why are they important?

To thrive as a Structural Equation Modeling (SEM) PhD, you need advanced knowledge in statistics, psychometrics, and quantitative research methods, typically supported by a doctoral degree in a related field. Proficiency in statistical software such as Mplus, AMOS, LISREL, or R (lavaan package) is essential, along with experience in data analysis and model evaluation. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in explaining complex models and collaborating with interdisciplinary teams. These skills ensure rigorous, accurate research outcomes and enable clear interpretation and dissemination of findings in academic or applied settings.

What is the difference between Structural Equation Modeling Phd vs Data Analyst?

AspectStructural Equation Modeling PhdData Analyst
Required CredentialsPhD in related field, expertise in SEMBachelor's or Master's in Data Science, Statistics, or related
Work EnvironmentAcademic, research institutions, or specialized analytics teamsBusiness, finance, healthcare, or tech companies
Employer & Industry UsageResearch-focused roles, academia, advanced analyticsData-driven decision making across industries

The main difference is that a Structural Equation Modeling Phd specializes in advanced statistical modeling and research, often within academia or research institutions, while a Data Analyst focuses on interpreting data to inform business decisions across various industries. Both roles require strong analytical skills, but the SEM Phd emphasizes theoretical and methodological expertise.

What are some common challenges faced by a Structural Equation Modeling PhD in collaborative research projects?

A Structural Equation Modeling (SEM) PhD often collaborates with multidisciplinary teams, which can present challenges such as explaining complex statistical concepts to colleagues from non-quantitative backgrounds. Additionally, aligning the SEM approach with the research goals of collaborators may require flexibility and strong communication skills. Time management is also key, as SEM PhDs are frequently tasked with designing models, performing analyses, and helping others interpret results, all while meeting project deadlines. Building effective working relationships and setting clear expectations early on can help overcome these challenges and ensure successful collaborations.
Infographic showing various Structural Equation Modeling Phd job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 4% As Needed, 11% Full Time, 76% Part Time, 1% Contract, and 2% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Physician - Biostatistician/Quantitative Psychologist - Chicago (Downtown)

Rush University Medical Center

Chicago, IL • On-site

$114K - $146K/yr

Full-time

Posted 20 days ago

Rush University Medical Center rating

7.8

Company rating: 7.8 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

145th of 994 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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