Research Data Analyst 2

UCLA Health is seeking a Research Data Analyst 2 to support clinical and health services research using large healthcare data assets. The role focuses on constructing research datasets, performing advanced statistical analyses, and communicating findings through clear visual and tabular reporting for publications and presentations. This position is onsite in Los Angeles, CA.

Role Overview

The Research Data Analyst 2 will work with multi-source healthcare datasets, including UCLA and VA EHR data, Medicare data, and other clinical databases. The position emphasizes data quality, dataset development, statistical modeling, and documentation to support accurate and reproducible research analyses.

Key Responsibilities

• Construct, manage, and clean large, complex datasets from UCLA/VA EHR, Medicare, and other sources.
• Collaborate with faculty and research staff on data quality control and database design.
• Develop and apply statistical models to support clinical and health services research.
• Summarize results in clear graphical and tabular formats for reports, publications, and presentations.
• Partner with research teams to ensure analyses are accurate, reproducible, and well documented.

Required Qualifications

• Bachelor’s Degree in Statistics / Computer Science / Bioinformatics / Data Specification / Data Science / Computational, or an equivalent combination of education and experience.
• Knowledge of basic and multivariable statistics.
• Experience with statistical modeling approaches such as hierarchical/multilevel modeling, GLM and GEE modeling, two-stage models, and survival models.
• Knowledge of research design.
• Competency in statistical software applications, including STATA, R, and SAS.
• Experience using SQL to query and extract data for database management.
• 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 datasets and tables from multiple sources to develop analytic datasets as a single file.
• Ability to produce visual tools that highlight essential information from a project or study.
• Ability to learn new statistical techniques and adapt existing code to customize analysis strategies.

Tools and Technologies

• STATA
• R
• SAS
• SQL
• Python
• Jupyter notebook

Preferred Qualifications

• Master’s degree or higher in Biostatistics/Statistics/Computer Science or a related field.
• 2 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/Data Science.
• Competence with Python for database management and statistical analyses.
• Experience using Jupyter notebook.
• Experience with regular expression natural language processing via Python.
• Experience with machine learning models, including regularization regression, random forests, and ensemble methods.
• Experience with causal inference approaches such as instrumental variable models, propensity-score methods, difference-in-difference designs, regression discontinuity, and G-estimation.
• Experience with economic models.

Compensation

Hourly pay range: USD 35 to 73 (per hour).

Location

Los Angeles, CA (onsite).