New

Research Data Analyst II

University of California - Los Angeles Health
United States, California, Los Angeles
Mar 03, 2026
Description This role is responsible for advanced data construction, management, cleaning, and statistical analysis across large and complex datasets, including UCLA and VA electronic health records (EHR), Medicare data, and other clinical databases. The position collaborates closely with faculty and staff on data quality control, statistical modeling, and the design of study databases. The incumbent will conduct statistical analyses, develop high quality graphical and tabular summaries of results, and contribute to data driven insights that support research goals. Salary: $33.96 - $69.54 hourly Qualifications Required: Bachelor's Degree in Statistics / Computer Science / Bioinformatics / Data Specification / Data Science / Computational and/or equivalent combination of education and experience. Knowledge of basic and multivariable statistics. Experience with a range of statistical modeling (e.g., hierarchical/multilevel modeling, GLM and GEE modeling, two-stage models, survival models). Experience with causal inference approaches such as instrumental variable models, propensity-score methods, difference-in-difference designs, regression discontinuity, G-estimation. Experience with economic models. Knowledge of research design. Competency in statistical software applications (e.g., STATA, R, SAS). Experience with database management via SQL to run queries and extract data. Ability to conceptualize and construct tables and graphs. Working knowledge of statistical terminology. Ability to summarize statistical analyses for collaborators. Ability to manage and merge large dataset and datatables from different sources to develop analytic datasets as a single file. Ability to produce visual tools that highlight the essential information from a project or study. Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies. Preferred: Master's degree or higher in Biostatistics/Statistics/Computer Science or related field 2 years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science. Competence with Python for database management and statistical analyses. Experience with using Jupyter notebook Experience with regular expression natural language processing via Python Experience with machine learning models (e.g. regularization regression, random forests, ensemble methods)