Senior Statistician

University of California, Los Angeles, United States

Updated: 9 days ago
Location: Los Angeles, CALIFORNIA


  • JOB DUTIES

Description

The Department of Medicine is currently seeking an experienced Senior Statistician to join our team. In this role, you will spearhead database construction, oversee data management, and comprehensive statistical analysis. As a key collaborator, you will liaise with staff and faculty members, offering expertise in data management, quality control, statistical modeling, and the design of study databases. The ideal candidate must possess the technical prowess to work with statistical software tools such as SAS, R, STATA, etc., as well as spreadsheet programs, database management systems, and graphing software. It’s essential that you demonstrate a solid understanding of data management and statistical analysis principles, ensuring that best practices are adhered to in all tasks. Finally, in this role, you will independently engage with collaborators to deliver customized statistical analyses, craft statistical sections for manuscripts and grant applications, and succinctly summarize statistical findings. Annual range: $78,800-$175,000



  • JOB QUALIFICATIONS

Qualifications

REQUIRED: * Bachelor’s degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent experience. * 3-5 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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