ZipRecruiter

Log In

1

Structural Equation Modeling Sas Jobs (NOW HIRING)

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Demonstrated proficiency in structural equation modeling and longitudinal data analysis Demonstrated proficiency in SPSS, Mplus, and R Experience with functional magnetic resonance imaging (fMRI ...

OpenAI

People Data Scientist

San Francisco, CA · On-site

$198K - $220K/yr

... structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation. * High proficiency ...

6k Systems

Learning Analyst

Montgomery, AL · On-site

... structural equation modeling, etc.). * Minimum of 2 years of progressively responsible professional experience involving planning, program review, and data analysis activities and projects. * Must ...

next page

Showing results 1-20

People also search for

All JobsStructural Equation Modeling Sas Jobs

Structural Equation Modeling Sas information

See salary details

$15

$23

$28

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

As of Jun 8, 2026, the average hourly pay for structural equation modeling sas in the United States is $23.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals using Structural Equation Modeling (SEM) with SAS, and how can they be addressed?

Professionals working with Structural Equation Modeling in SAS often encounter challenges such as ensuring proper model specification, handling missing data, and interpreting complex output. It’s important to carefully prepare your data and have a strong understanding of both theoretical frameworks and SAS-specific syntax. Collaborating with statisticians or colleagues experienced in SEM can help resolve ambiguities in model design and output interpretation. Many teams also benefit from using SAS documentation and community forums to troubleshoot issues and stay updated on best practices.

What is Structural Equation Modeling (SEM) in SAS?

Structural Equation Modeling (SEM) in SAS is a statistical technique that allows researchers to evaluate complex relationships among observed and latent variables using path analysis, factor analysis, and regression models. SAS provides specialized procedures, such as PROC CALIS, to specify, estimate, and test SEM models. These tools help users analyze the direct and indirect effects between variables and assess model fit, making them valuable for research in social sciences, marketing, and other fields. SEM in SAS is known for its flexibility and ability to handle large datasets and sophisticated model structures.

What are the key skills and qualifications needed to thrive as a Structural Equation Modeling (SEM) specialist using SAS, and why are they important?

To thrive as a Structural Equation Modeling (SEM) specialist using SAS, you need a solid background in statistics, quantitative research methods, and experience with SEM concepts, often supported by an advanced degree in a relevant field. Proficiency in SAS software, particularly PROC CALIS or other relevant procedures, and familiarity with statistical programming and data management are crucial. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex models and explaining results to stakeholders. These abilities ensure accurate model building and clear insights, which are vital for high-impact research and data-driven decision-making.
Infographic showing various Structural Equation Modeling Sas job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 17% Physical, and 83% Remote job distribution, with an average salary of $48,166 per year, or $23.2 per hour.
Staff Scientist - Human Nutrition and Obesity

Staff Scientist - Human Nutrition and Obesity

Baylor College of Medicine

Houston, TX • On-site

$70K - $80K/yr

Full-time

Posted 23 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

50th of 534 rated colleges and universities

Job description

Job Title: Staff Scientist - Human Nutrition and Obesity
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $70,000 - $80,000
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Biostatistics and Research Data Lab at the USDA/ARS Children's Nutrition Research Center (CNRC) is seeking a full-time Staff Scientist to serve as a scientific leader within our research community. The Lab's mission is to support and elevate high-quality research by providing expertise in study design, statistical methodology, data management, analytic strategy, grant development, and training for investigators across the Center. Under the guidance of the Core Director, the Staff Scientist will play a critical role in shaping and advancing the scientific agenda of the Lab and its collaborators. The Staff Scientist will develop and lead independent research projects, contribute to independent and collaborative grant submissions, and create, refine, and validate innovative methods for analyzing complex human behavioral data (e.g., physical activity, gaze detection, dietary assessment). Will also guide Center-wide efforts to strengthen scientific rigor, reproducibility, and methodological best practices.
This position requires demonstrated experience in scientific writing, grant proposal development, and design and conduct of clinical or behavioral research in obesity, nutrition, activity behaviors, or related fields. A strong record of peer-reviewed publications is expected. Beyond their own research program, the Staff Scientist will serve as a high-level scientific collaborator, contributing intellectually and practically to multidisciplinary projects within the Division of Nutrition. The ideal candidate thrives in a fast-paced environment, works effectively with an established team of investigators, and contributes expertise that elevates the methodological and analytic quality of research across the CNRC.
Job Duties
  • Design statistically rigorous research protocols, IRB protocol submissions, and independent and collaborative grant submissions to various funding agencies and sponsors.
  • Work independently, and in conjunction with others, to design, analyze, and interpret complex datasets using advanced statistical tools, including (1) Generalized Linear Models, , (2) Hierarchical (multi-level) Modeling, (3) Individualized Dynamic Latent Factor Modeling, (4) Multilevel-Structural Equation Modeling (MSEM), (5) Time Series analyses to identify trends, cycles, and patterns, and (6) Artificial Intelligence/Machine learning (AI/ML) methods for clustering, variable selection, and predictive modeling. Using these statistical tools, the Staff Scientist will communicate the underlying structure of the data, detect anomalies, and present analysis results to the Core Director, principal investigators, and academic collaborators.
  • Create research and evaluation studies promoting the proper use of statistical methodology and correct inference of statistical findings, and assess needs for methods development by refining current approaches, integrating different statistical models, or creating innovative statistical methods.
  • Conduct literature searches and critical reviews for first-author, peer-reviewed, scientific publications.
  • Summarize literature searches and scientific evidence needed for publications, technical reports, and conference abstract submissions.
  • Submit scientific meeting abstracts to relevant industry conferences, symposiums, workshops, panel discussions, and seminars.
  • Attend scientific conferences and present novel research results and findings to the academic scientific community.
  • Participate in interdisciplinary project teams to provide expert technical and conceptual statistical support as needed.
  • Perform other job related duties as assigned.

Minimum Qualifications
  • Doctoral Degree. Experience may not be substituted in lieu of degree.
  • Three years of post doctoral research experience.

Preferred Qualifications
  • PhD in behavioral sciences, public health, social sciences, exercise physiology or related field
  • Experience working with complex human behavior data

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
SN
Requisition ID: 24566

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply