Research Data Analyst 3, S-SPIRE (U.S. - Flexible Work Location)

$132,369 - $160,981/Yr

Stanford University - Palo Alto, CA

Full-time - Mid Level

Hybrid - Palo Alto, CA

Educational Services

About the position

The Research Data Analyst 3 position at Stanford University's Department of Surgery involves supporting a collaboration initiative with the Palo Alto VA. The role focuses on manipulating relational databases to create, manage, and analyze large datasets for research projects aimed at evaluating VA programs and policies. The analyst will work independently under the direction of the Principal Investigator, contributing to high-quality research that impacts the care and well-being of Veterans.

Responsibilities

• Collect, manage, and clean large health care datasets using SQL and/or SAS.
• Construct analytic files using relational databases.
• Conduct statistical analyses in Stata, R, or Python.
• Identify and correct problematic data, determining root causes and suggesting solutions.
• Develop reports, charts, graphs, and tables for researchers and publications.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Support the publication of manuscripts.
• Develop algorithms and sample code for organization-wide use.
• Create documentation of best practices based on lessons learned.
• Supervise, coach, and mentor junior analysts as needed.

Requirements

• Bachelor's degree and five years of relevant experience or a combination of education and relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics, or engineering.
• Extensive experience working with large relational databases.
• Highly proficient in SQL with experience manipulating large, complex datasets.
• Experience importing, transforming, cleaning, merging, and editing data with quality/accuracy measures.
• Strong problem-solving skills, critical thinking skills, and attention to detail.
• Ability to work independently with minimal supervision and effective communication skills.

Nice-to-haves

• Master's degree or higher in a relevant field.
• Experience with additional programming languages such as Stata, R, or Python for data analysis.
• Prior research experience using causal inference models.
• Experience with Veterans Health Data in the VA Corporate Data Warehouse.
• Experience with medical claims and billing data.
• Experience working with health care administrative data.

Benefits

• Comprehensive health insurance coverage
• Retirement savings plan options
• Flexible work location
• Professional development opportunities
• Paid time off and holidays