Research Statistician (Part-Time)

Chapman University CareersIrvine, CA

About The Position

The Research Statistician will work in the area of psychosocial health. The position requires high-level expertise in psychology, research design, data preprocessing, and applied statistics. Key responsibilities include preprocessing data for analysis, performing complex data analysis, manuscript writing, publishing research findings in peer-reviewed journals, and mentoring junior researchers. This position requires an advanced degree (PhD [preferrable] or Masters) in a field related to research design and/or applied statistical analysis.

Requirements

  • Advanced degree in a related field conducting inferential/applied statistics
  • 4+ years of graduate-level research experience in psychology or a related field
  • Experience with statistical software (e.g., SPSS , R, Stata)
  • Advanced understanding of inferential statistical methods and applied data analysis
  • Excellent scientific writing and public presentation skills
  • Ability to work independently and manage multiple research tasks

Nice To Haves

  • PhD preferred

Responsibilities

  • Cleaning data extracted from medical records and/or RedCap survey software
  • Restructuring data (e.g., going from wide to long or vice versa)
  • Identifying and reporting data errors through descriptives and frequency statistics
  • Calculating variables (e.g., sum scores, averages of scale items)
  • Ensuring data align with codebook
  • Conducting advanced statistical models (e.g., multilevel modeling, structural equation modeling) to test hypotheses
  • Writing up statistical findings in both paragraph and table/figure form
  • Crafting manuscript sections (e.g., introduction, methods, results, discussion) to convey the research question, study design, and outcomes of the results
  • Submit manuscript for publication in journal portal
  • Guide other staff/students in conducting statistics (e.g., t-tests, linear regression)
  • Guide other staff/students in creating tables for statistical results (e.g., bar graphs, line graphs)
  • Participating in meetings that regard data processing (including format of the data needed to match codebooks)
  • Participating in meetings that regard planning and interpreting statistical analyses
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