New

Statistician - Pediatrics

University of California - Los Angeles Health
United States, California, Los Angeles
May 16, 2026
Description The UCLA/CHLA Clinical Coordinating Center for the ARIA IMPACT Network is seeking a Statistician (Research Data Analyst 2) to support the IMPACT Longitudinal Natural History Study, a multi-site federally funded study enrolling 1,400+ participants across 12 research centers nationwide. The position is responsible for designing and maintaining study databases, monitoring data quality across sites, producing statistical analyses and dashboards for milestone reporting and regulatory submissions, and supporting IRB and compliance documentation including SOPs, validation trackers, and query management. The role works closely with the Program Manager and senior scientific staff in a fast-moving, multi-site research environment. This is an opportunity to contribute to work that is directly shaping clinical trial readiness for individuals with profound autism and related neurodevelopmental disorders. This is a limited position that may convert to career. Salary Range: $33.96 - $69.54 Hourly Qualifications All Required: Bachelor's degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent combination of education and experience. 1-2 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. Knowledge of basic and multivariate statistics. Knowledge of research design. Competency in statistical software applications (e.g., R, SAS, STATA). Ability to conceptualize and construct tables and graphs. Working knowledge of statistical and/or medical terminology. Ability to summarize statistical analyses for collaborators. Knowledge of statistical techniques. Ability to utilize database management software to run queries and extract data. Ability to construct databases. Ability to produce visual tools and dashboards that highlight the essential information from a project or study. Knowledge of basic office software and applications (e.g., Microsoft Office Suite, Google, Internet search engines, etc.). Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies.