Research Assistant (PhD Student)
About The Position
AACOM is seeking a project-based Research Assistant to support a medical education research study examining predictors of clinical confidence and readiness among graduating osteopathic medical students. This temporary, part-time position is ideal for a doctoral student or recent PhD graduate with strong quantitative research skills and experience conducting advanced statistical analyses in R. The dataset has been fully assembled, research questions have been established, and the analytic framework has been developed. The selected candidate will execute the statistical analyses, prepare publication-quality tables and figures, and develop a manuscript suitable for submission to a peer-reviewed medical education journal.
Requirements
- PhD in progress or completed in Statistics, Educational Research, Quantitative Methods, Biostatistics, Public Health, Psychology, or a related quantitative discipline
- Demonstrated proficiency using R for statistical analysis
- Experience conducting exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multiple linear regression
- Demonstrated ability to prepare publication-quality scientific manuscripts
- Strong proficiency with R, including packages such as psych and lavaan
- Strong quantitative reasoning and statistical interpretation skills
- Excellent written communication and scientific writing abilities
- Ability to organize and document reproducible analytic workflows
- Ability to work independently, manage multiple project deadlines, and collaborate effectively in a fully remote environment
- Interest in medical education or health professions education research
Nice To Haves
- Prior first- or second-author publication in a peer-reviewed empirical journal
- Experience with structural equation modeling
- Experience analyzing survey data and large observational datasets
- Familiarity with medical education or health professions education research
Responsibilities
- Conduct exploratory factor analyses (EFA) using Principal Axis Factoring, oblimin rotation, and parallel analysis
- Develop and compare confirmatory factor analysis (CFA) models for independent and dependent variable constructs
- Perform multiple linear regression analyses examining three dependent variable subscales across seven independent variable clusters using both unadjusted and covariate-adjusted models
- Evaluate model assumptions and interpret statistical findings
- Produce publication-quality statistical tables and figures
- Prepare a publication-ready manuscript for submission to a peer-reviewed medical education journal
- Draft the Introduction, Methods, Results, and Discussion sections
- Present statistical findings in a clear and scientifically rigorous manner
- Incorporate feedback from project investigators throughout the manuscript development process
- Develop clean, well-commented, reproducible R code
- Maintain organized analytic documentation and workflows
- Collaborate with the research team through regular virtual project meetings
Benefits
- Flexible work schedule
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
