Research Data Analyst II – Data-Driven Insights

UCSF Health, AG; Richmond (CA); On-site; USD 55,000 - 85,000; Full time

Job summary

UCSF Health is seeking a researcher to gather, analyze, and interpret diverse research data. The role involves designing studies, selecting data samples, developing instruments, and applying established statistical methods to generate actionable recommendations.

You will prepare reports and visual aids to communicate findings clearly. Responsibilities include presenting data insights, collaborating with interdisciplinary teams, and ensuring rigorous data security and ethical standards in line

Qualifications

• Bachelor's degree in related area and 1+ years of relevant experience.
• Knowledge of research function.
• Ability to perform research analysis duties.
• Statistical analysis, systems programming, database design, and data security.
• Analysis and consultation skills.
• Ability to communicate complex information clearly, verbally and in writing.
• Time management to complete project parts on deadline.
• Proficiency with technology, software and scientific equipment (Python).
• Experience working with diverse populations.
• Experience using SmartSheets or other project management software.
• Experience with Epic (or similar EHR system).

Responsibilities

• Gather, analyze, and interpret a wide variety of research data.
• Design and conduct research including selecting data samples, instruments, and analysis.
• Prepare reports, charts, tables, and visual aids to interpret results.

Education

Bachelor's degree in related area

Master's degree in related area

Tools

Python

Job description

UCSF Health is seeking a researcher to gather, analyze, and interpret diverse research data. The role involves designing studies, selecting data samples, developing instruments, and applying established statistical methods to generate actionable recommendations.

You will prepare reports and visual aids to communicate findings clearly. Responsibilities include presenting data insights, collaborating with interdisciplinary teams, and ensuring rigorous data security and ethical standards in line