More jobs:
Psychometrician
Job in
Houston, Harris County, Texas, 77001, USA
Listed on 2026-10-27
Listing for:
AppleOne Employment Services
Full Time
position Listed on 2026-10-27
Job specializations:
-
Research/Development
Research Analyst, Data Scientist -
Healthcare
Data Scientist
Job Description & How to Apply Below
Location:
Remote (U.S.
-based)
Contract:
Ongoing project-based
Compensation $50/H
We’re looking for a quantitative researcher to design and run survey-based studies and evaluate program/learning outcomes in the healthcare education space. Ideal for someone who has authored research and can independently take a study from design to findings in a virtual team.
Key responsibilities
- Design and program surveys in Qualtrics (logic, sampling, deployment), and analyze results.
- Design and conduct quantitative studies of efficacy/engagement/effectiveness; deliver clear, decision-oriented findings.
- Author manuscripts, technical memos, and stakeholder summaries.
- Prepare IRB materials and manage protocol compliance.
- Work cross-functionally to translate results into product or program actions.
Required qualifications
- Academic research experience with authorship or co-authorship on peer-reviewed work.
- Proficiency with Qualtrics (survey design, logic, distribution, data export).
- Hands-on quantitative analysis related to efficacy, engagement, or program outcomes.
- Familiarity with IRB processes and human subjects research.
- Master’s degree (minimum) in Psychology, Education, Public Health, or a related field.
Preferred
- Proficiency in R, Python, or SAS.
- Exposure to basic psychometrics (e.g., Rasch, Winsteps, equating).
How to apply
Please submit your full CV (no page limit) plus brief bullets describing one study you designed and conducted in each of the following:
- A Qualtrics survey project (your role, sampling, analysis, outcome).
- An efficacy or engagement study (design, outcomes measured, decisions influenced).
- Any IRB protocol you prepared or managed.
- Links to publications, technical reports, or sample de-identified outputs are welcome.
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