Research Data Analyst 2

Stanford University is seeking a Research Data Analyst 2 to support research efforts focused on rare-disease cohort identification and the reconstruction of diagnostic journeys from electronic health records. The role emphasizes reproducible analytics, clinician-centered validation, and clear communication through research outputs.

Responsibilities

• Develop and evaluate methods to identify rare-disease patient cohorts using structured EHR data and clinical text.
• Build reproducible Python/SQL pipelines that organize clinical events into patient diagnostic timelines.
• Create annotation and review tools that enable clinicians to validate extracted information and support iterative improvements.
• Investigate data-quality issues and extraction errors, using clinical feedback to refine computational methods.
• Develop performance metrics and automated tests for timeline extraction and downstream disease-risk models.
• Translate analyses into datasets, figures, reports, presentations, and manuscript contributions.
• Document methods, validation results, and limitations to support research comprehension and reproducibility.
• Collaborate with clinical and technical colleagues to shape methods, interpret results, and advance ongoing research.
• Prioritize and extract data from a range of sources, including notes, survey results, medical reports, and laboratory data, while maintaining accuracy and completeness.
• Determine additional data collection and reporting requirements.
• Design and customize reports using data stored in the database, and oversee and monitor regulatory compliance for data utilization.
• Use system reports and analyses to identify potentially problematic data, make corrections, and address root causes or justify solutions for implementation by others.
• Create complex charts and databases, conduct statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine requests, including statistics and survey needs.
• Test prototype software and participate in the approval and release process for new software.
• Provide documentation based on audit and reporting criteria for investigators and research staff.

Requirements

• Bachelor's degree and three years of relevant experience, or an equivalent combination of education and relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics, or engineering.
• Substantial experience with MS Office and analytical programs.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

Technologies

• Python
• SQL
• MS Office

Location and Work Schedule

Stanford, CA (hybrid). Onsite work is three days per week, subject to operational needs.