Research Data Analyst I

UCSF • San Francisco, CA

1d

About The Position

The Research Data Analyst I gathers and analyzes research data and prepares reports, charts, tables, and other visual aids to interpret and communicate results. With guidance and supervision, the analyst applies statistical and other analysis techniques to support research projects in the Nephrology Division, which conducts basic and clinical kidney research and provides patient care across UCSF Health, the San Francisco Veterans Affairs Medical Center, and Zuckerberg San Francisco General.

Requirements

• Acquiring knowledge of research functions.
• Acquiring knowledge of statistical analysis, database management, and systems programming.
• Ability to communicate complex information clearly and concisely, verbally and in writing.
• Ability to analyze complex information requirements and document them using formal data-definition techniques and naming standards.
• Ability to gather, analyze, prepare, and summarize information from subject matter experts and technical personnel.
• Familiarity with data-quality and governance issues and requirements.
• Acquiring knowledge of data-management systems, practices, and standards.
• Acquiring knowledge of relevant rules and regulations.
• Self-motivated; able to work independently and as part of a team.
• Strong problem-solving skills and ability to learn effectively and meet deadlines.
• Strong organizational skills.
• Critical-thinking skills and attention to detail.
• Knowledge of statistics and machine learning.
• Ability to program in SAS, STATA, or an equivalent language such as R.
• Bachelor’s degree in data science or a related field, with completion of a first-author original investigation clinical research manuscript demonstrating proficiency with data manipulation and analysis, and/or equivalent experience or training.

Nice To Haves

• Collaborative Institutional Training Initiative (CITI) training.
• HIPAA training.

Responsibilities

• Perform basic statistical and data analysis under direct supervision, compile research data, and contribute to data analysis.
• Normalize data from multiple disparate databases into a common format.
• Write code to automatically evaluate and optimize the accuracy of different statistical models.
• Clean and model data according to study design, including imputing missing variables and using Fine-Gray, Cox, logistic, and other models.
• Collect research data and prepare it for analysis.
• Prepare data from NIH-funded clinical trials and cohort studies to meet Data Management and Sharing (DMS) Plan requirements.
• Support testing of research instruments and data sources.
• Run data quality checks and develop and implement data-cleaning and merging rules.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level