Postdoctoral Research Fellow - Quantitative Methods
About The Position
The Postdoctoral Research Fellow will join a multi-site research team conducting a pooled analysis of data from three completed clinical trials of motor-based treatment for childhood apraxia of speech (CAS). The project will establish an open research repository of treatment data and examine child-, session-, and target-level predictors of treatment response. The team will also develop an algorithm to help clinicians apply evidence-based treatment target selection methods in CAS. The position is contingent on grant funding and is expected to last 21 months from the start date. The fellow will receive structured mentorship for career development and travel funding to present the work at conferences. Additional opportunities to teach or mentor students in statistical methods may be available for interested applicants.
Requirements
- A strong foundation in quantitative methods and/or psychometrics.
- A desire to develop further expertise through mentored postdoctoral training.
- A PhD or candidacy in quantitative or developmental psychology, communication sciences and disorders, rehabilitation science, or a related field with a strong quantitative background; alternatively, training in statistics or research methods and interest in applied health research.
- Study methods include multilevel modeling, Bayesian approaches, and item response theory, primarily implemented in R.
Nice To Haves
- Knowledge of motor learning, child speech and language development, phonetics, or related areas.
- Applicants are encouraged to highlight in their cover letter one published manuscript or preprint relevant to the position.
Responsibilities
- Manage and coordinate data and build the research repository.
- Conduct statistical analyses for the planned research aims.
- Disseminate findings through peer-reviewed publications and conference proceedings.
- Participate in structured mentorship to support career development.
- Potentially teach or mentor students in statistical methods.
Benefits
- Structured mentorship to support career development.
- Travel funding to present the work at conferences.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
