Drive Impactful Healthcare Research Through Data and Analytics

The David Geffen School of Medicine at UCLA, Department of Surgery, is seeking a full-time Junior Statistician with a strong foundation in statistics and data science to join the Population-Health Research Core (PHRC) Biostatistical/Epidemiological Core. This role offers a unique opportunity to contribute to impactful research projects that shape the future of healthcare.

As a key member of our fast-paced team, you’ll support transformative projects that shape healthcare delivery and policy through advanced statistical analysis and data-driven insights. You’ll collaborate with faculty and staff to manage and refine complex datasets, design study databases, and apply statistical modeling techniques to uncover meaningful patterns and outcomes.

You’ll play a central role in developing visual tools—tables, graphs, and dashboards—that communicate findings clearly and effectively. We’re looking for someone who thrives in a collaborative environment, brings strong analytical skills, and is eager to learn and apply new statistical techniques.

Join us in driving data-informed solutions to improve population health. Apply today and be part of a collaborative team at the forefront of healthcare research.

Full hourly salary range is $33.96 - $69.54. Please note the department’s target hourly salary range is: $36.40 - $38.31.

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.