Social Science/Humanities Research Associate V (4005)

University of Texas at Austin

8d • Onsite

About The Position

The Latino Research Institute (LRI) is hiring a Social Science/Humanities Research Associate V to support and grow the Institute’s research-focused areas and collaborations with affiliated researchers. This fixed-term position is expected to continue for two years, through November 16, 2028, and is based at the UT Main Campus. The role provides advanced quantitative research, methodology, data management, and technical consultation support to investigators and research teams.

The position leads complex quantitative analyses and develops reproducible analytic workflows; advises on research questions, study design, measurement, power and sample size, analytical methods, and feasibility; and manages research databases and data quality procedures. It also contributes to reports, manuscripts, presentations, and other research dissemination, while supporting secure data stewardship, documentation, data sharing, and continuity across research activities.

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 the ability to work independently and proactively.
• Ability to work in a team environment in concert with the research team.
• Knowledge of collaborative techniques and the 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 the ability to apply this 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 developing and refining research questions and study ideas based on methodological expertise, available data, and research findings; identify opportunities for further investigation and appropriate analytic approaches.
• Apply complex statistical models as appropriate, including multilevel and mixed-effects models, longitudinal models, generalized linear models, structural equation models, mixture models, and psychometric and scale development methods.
• Prepare analytic datasets, statistical outputs, tables, and figures; evaluate and interpret results; and identify relevant methodological, statistical, or data limitations.
• Provide quantitative methodological and technical expertise for research proposals and the planning and implementation of research projects.
• 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 according to 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, and support communication and interpretation of findings.
• Ensure appropriate research data security, stewardship, and sharing practices; support secure data access, transfer, archiving, and data-sharing procedures 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 on the university’s benefits and total rewards websites.
• Staff professional development resources are referenced, including a Staff Leadership Academy and a Staff Professional Development Fund.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior