Research Associate

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Since 1966, researchers at the Carolina Population Center have pioneered data collection and research techniques that move population science forward by emphasizing life course approaches, longitudinal surveys, the integration of biological measurement into social surveys, and attention to context and environment. We are also at the forefront of creating interdisciplinary training programs that integrate approaches from the social and biological sciences, building research capacity and training the next generation of scholars. Our faculty fellows address pressing research questions about population dynamics, fertility, health, mortality, migration, and the environment. Faculty come from multiple disciplines, benefitting from the cross-pollination of ideas. Our dedicated research and programming staff support fellows at every stage of project development, from conception through data collection or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/

This Research Associate will be responsible for final-stage data management and reporting for an NIH-funded project focused on Russian schooling policies. The primary focus of the role is to clean, document, and format complex datasets to meet public release standards and ensure data integrity. Additionally, the individual will draft technical reports and synthesize research findings to fulfill NIH grant reporting requirements and project deliverables.

Bachelor's degree in a discipline related to the field assigned and one year of related training or experience; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.

* Familiarity with NIH requirements for public data release, including de-identification protocols and metadata documentation.
* Proven proficiency in using Stata to clean large datasets and prepare reproducible codebooks.
* Experience drafting formal research reports or grant progress reports (RPPRs) for federal funding agencies.
* Prior research experience or academic background concerning the Russian education system or Russian public policy.
* Demonstrated ability to perform rigorous data validation and 'clean room' checks to ensure datasets are error-free before public dissemination.

Not Applicable.

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