Social Science/Humanities Research Associate V (4005)

The University of Texas at Austin•Austin, UT
•Onsite

About The Position

The Social Science/Humanities Research Associate V supports and grows the Latino Research Institute’s research-focused areas by providing advanced quantitative research expertise and collaborating with affiliated researchers. This fixed-term position is expected to continue for two years, through November 16, 2028. The role leads advanced quantitative analyses and develops reproducible analytic workflows; advises investigators on research questions, study design, measurement, power and sample size, analysis, statistical modeling, and feasibility; and manages research databases, data workflows, and quality assurance. The position also contributes analytical content to research reports, manuscripts, presentations, and other dissemination products, and supports secure data stewardship, documentation, technical consultation, and knowledge transfer across projects.

Requirements

  • Master’s degree in sociology, psychology, statistics, demography, public health, or a related field.
  • At least 6 years of related experience with a master’s degree, or at least 8 years of related experience with a bachelor’s degree.
  • Data-management expertise using REDCap or a related data-management system, Excel, Stata, R, and SAS.
  • Exceptional verbal and written communication skills.
  • Strict attention to detail and ability to work independently and proactively.
  • Ability to work in a team environment in concert with the research team.
  • Knowledge of collaborative techniques and ability to promote information sharing and teamwork to solve problems and meet goals.
  • Excellent time-management skills to meet stringent deadlines.
  • Knowledge of approaches, tools, and techniques for recognizing, anticipating, and resolving organizational, operational, or process problems, and ability to apply that knowledge appropriately.
  • Relevant education and experience may be substituted as appropriate.

Nice To Haves

  • More than the minimum required years of relevant experience.
  • Experience with peer-reviewed publication and funding.
  • Relevant experience at a large higher education institution.

Responsibilities

  • Lead advanced quantitative analyses and develop reproducible analytic workflows.
  • Contribute to research questions and study ideas using methodological expertise, available data, and research findings; identify further investigation opportunities and suitable analytic approaches.
  • Apply appropriate complex statistical models, including multilevel and mixed-effects, longitudinal, generalized linear, structural equation, and mixture models, as well as psychometric and scale-development methods.
  • Prepare analytic datasets, statistical outputs, tables, and figures; evaluate and interpret results; and identify methodological, statistical, or data limitations.
  • Provide quantitative methodological and technical expertise for research proposals and project planning and implementation.
  • Advise on study design, measurement, power and sample-size calculations, analytical approaches, statistical model selection, research workflows, and feasibility.
  • Identify methodological or implementation issues and recommend solutions.
  • Design and manage research databases and data workflows in line with research needs and objectives.
  • Develop and implement data-management and QA/QC procedures; clean, validate, link, transform, and prepare analysis-ready datasets.
  • Contribute to research reports, manuscripts, presentations, and other dissemination products; prepare and review methods and results sections, tables, figures, and other analytic content.
  • Support communication and interpretation of research findings.
  • Ensure appropriate research data security, stewardship, and sharing practices; support secure data access, transfer, archiving, and data sharing according to project and institutional requirements.
  • Develop and maintain technical documentation, SOPs, codebooks, data dictionaries, and related research documentation; provide technical guidance and support continuity and knowledge transfer.
  • Provide ad hoc data services and technical consultation on database systems, data management, data quality, secure data transfer, and other short-term technical research needs.

Benefits

  • The university offers a benefits package; details are available through the university benefits resources.
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