Description
UCLA HEALTH
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Description
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 is: $33.96
Qualifications
Required:
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Bachelor’s degree in Statistics/Computer
Science/Bioinformatics/Data Specification/ Data Science/Computational or
equivalent combination of education and experience.
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1-2 years of experience in Statistics/Computer
Science/Bioinformatics/Data Specification/Data Science.
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Knowledge of basic and multivariate statistics.
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Knowledge of research design.
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Competency in statistical software applications (e.g., R, SAS,
STATA).
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Ability to conceptualize and construct tables and graphs.
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Working knowledge of statistical and/or medical terminology.
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Ability to summarize statistical analyses for collaborators.
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Knowledge of statistical techniques.
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Ability to utilize database management software to run queries and
extract data.
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Ability to construct databases.
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Ability to produce visual tools and dashboards that highlight the
essential information from a project or study.
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Knowledge of basic office software and applications (e.g.,
Microsoft Office Suite, Google, Internet search engines, etc.).
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Ability to learn new statistical techniques and to adapt existing
code to customize statistical analysis strategies.