Find the cures you know are out there. At UCLA Health, you make it happen as part of a groundbreaking Research team, working to understand hundreds of medical disorders and improving processes for dozens of procedures across the globe.
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.
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