Junior Statistician - Urology

It takes more than highly-specialized knowledge and insight to bring breakthrough discoveries to life. It requires a true passion for uncovering the unknown. At UCLA Health, that's what our researchers bring to their critical work every day. Join the Department of Urology as a full time Jr. Statisticianand make a vital contribution to our incredible achievements.

As a Jr. Statistician you will assist with data construction, data management, and statistical analysis. Your primary job duties include collaborating with staff or faculty on data management,data quality control, statistical modeling, designing study databases, and applying skills in statistical analyses. You will also collaborate with others to provide tailored statistical analysis, formulate statistical sections for manuscripts and grant applications, and summarize statistical findings.

At UCLA Health, our passion for discovery and our limitless curiosity have enabled us to become a world-renowned source of medical breakthroughs. In addition to the extensive medical research and clinical education capabilities of the David Geffen School of Medicine, we're home to four award-winning hospitals and more than 270 community clinics throughout Southern California. If you're looking to experience greater challenge and fulfillment in your career, come to UCLA Health.

Pay Range: $32.95 - $67.53 hourly

• 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.