Senior Research Data Analyst

General Information

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Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday through Friday; 8:00am - 5:00pm Posted Date 08/27/2025 Salary Range: $7200 - 15400 Monthly Employment Type 2 - Staff: Career Duration Indefinite Job # 26368

Primary Duties and Responsibilities

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The role is responsible for building and managing research databases, ensuring high-quality data, and performing advanced statistical analyses. This position partners closely with faculty and staff to design study databases, implement rigorous data quality controls, and apply statistical modeling tailored to research needs. Working independently, the incumbent provides customized statistical support, develops statistical sections for manuscripts and grant proposals, and delivers clear, actionable summaries of findings that directly contribute to impactful publications and funded research.

Salary: $7,200 - $15,400 monthly

Job Qualifications

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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.