Junior Statistician – Surgery
Listed on 2026-08-22
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IT/Tech
Data Scientist, Data Analyst, Information Security & Data Protection
Job Information
- Location: Los Angeles, CA
- Employment Type: Full-time, Staff - Career
- Schedule: Monday-Friday 8am-5pm; hours may vary
- Salary Range: $33.96 - $69.54 hourly ($36.40 - $38.31 target)
- Posted Date: July 2, 2026
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.
- Support transformative projects that shape healthcare delivery and policy through advanced statistical analysis and data-driven insights.
- 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.
- Develop visual tools—tables, graphs, and dashboards—that communicate findings clearly and effectively.
Strong foundation in statistics and data science. Excellent analytical skills and eagerness to learn and apply new statistical techniques.
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