Research Data Analyst I

University of California, San Francisco•San Francisco, CA

About The Position

The Research Data Analyst I gathers and analyzes research data and prepares reports, charts, tables, and other visual aids to communicate findings. Working with guidance and supervision, the role applies statistical and other analysis techniques to support research projects in the Nephrology Division, which spans UCSF Health, the San Francisco Veterans Affairs Medical Center, and Zuckerberg San Francisco General. The division supports basic and clinical kidney research, education, and patient care. Under direct supervision, the analyst compiles research data, contributes to statistical analysis, standardizes data from disparate databases, and writes code to evaluate and optimize statistical models. The role prepares data from NIH-funded clinical trials and cohort studies to meet Data Management and Sharing Plan requirements, and supports research-instrument and data-source testing, data-quality checks, and data-cleaning and merging rules.

Requirements

Bachelor’s degree in data science or a related field, including completion of a first-author original investigation clinical research manuscript demonstrating proficiency with data manipulation and analysis, and/or equivalent experience or training.
Knowledge of statistics and machine learning.
Ability to program in SAS, STATA, or an equivalent language such as R.
Knowledge of research functions, statistical analysis, database management, and systems programming, or ability to acquire this knowledge.
Ability to communicate complex information clearly and concisely, verbally and in writing.
Familiarity with data-quality and governance issues and requirements.
Knowledge of data-management systems, practices, and standards, or ability to acquire this knowledge.
Knowledge of relevant rules and regulations, or ability to acquire this knowledge.
Ability to work independently and as part of a team; self-motivated.
Strong problem-solving skills.
Ability to learn effectively and meet deadlines.
Strong organizational skills, critical-thinking skills, and attention to detail.

Nice To Haves

Collaborative Institutional Training Initiative (CITI) training.
HIPPA training.

Responsibilities

Perform basic statistical and data analysis and compile research data under direct supervision.
Contribute to research data analysis.
Normalize data and create a common format from multiple, disparate databases.
Write code to automatically evaluate and optimize the accuracy of different statistical models.
Implement data cleaning and modeling based on 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 fulfill Data Management and Sharing Plan requirements.
Support testing of research instruments and data sources.
Run data-quality checks and develop and implement data-cleaning and merging rules.
Gather, analyze, prepare, and summarize information from subject matter experts and technical personnel.
Analyze complex information requirements and document them using formal data-definition techniques and naming standards.