Overview

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Statistician I to join the Statistics and Data Science department. This position will primarily support AmeriSpeak , NORC's probability-based research panel, while also contributing to survey research and analytic projects across NORC's health, society, economics, and education research portfolios. The Statistician I applies statistical methods and operational processes with supervision, with a primary focus on supporting AmeriSpeak survey operations and methodology, including sample selection, weighting, nonresponse analysis, variance estimation, survey data processing, quality control, and statistical analysis. The role also supports data preparation, documentation, statistical programming, quality checks, and clear communication of methods and results. Candidates should be proficient in R. SAS and Python experience are pluses. Experience or interest in machine learning, AI-assisted analytic workflows, data visualization, and/or reproducible computing practices is also valued. Additional responsibilities include assisting with proposal activities related to sampling, weighting, variance estimation, analysis, or study design, and working effectively in a team-oriented environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analyses that guide critical programmatic, business, and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The department conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, variance estimation, imputation, and survey data analysis for sample surveys and evaluation research. The department also provides expertise in statistical modeling, small area estimation, Bayesian analysis, assessing data quality, data visualization, machine learning methods, and approaches using artificial intelligence that support NORC's research. The department collaborates with departments throughout NORC, as well as leading its own projects. RESPONSIBILITIES: Support AmeriSpeak survey operations and methodology, including sample selection, weighting, variance estimation, nonresponse analysis, survey data processing, quality control, and statistical analysis. Write and implement programs to extract and manipulate data, make statistical calculations necessary for selecting samples and implementing weighting, and perform statistical analyses. Assist with survey statistics tasks, including sample frame preparation, survey panel process improvements and enhancements, and survey data analysis. Contribute to statistical sections of reports and other deliverables for technical clarity and effectiveness in addressing project research questions. Support development of sample design, weighting, variance estimation, analysis, and study design materials for reports, proposals, and technical documentation. Design and implement programs or scripts for data cleaning, transformation, validation, quality checks, and documentation. Apply reproducible research and statistical programming practices, including clear documentation, version control, peer review, and validation checks. Contribute to dashboards, data visualizations, and other products that communicate findings clearly to technical and nontechnical audiences. Apply or learn machine learning, AI-assisted analytic workflows, and modern computing practices where