Rare Disease Data Analyst: EHR Cohort & Risk Modeling

School of Medicine; Palo Alto (CA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Stanford School of Medicine seeks a Research Data Analyst 2 to explore how rare diseases emerge in patient histories. You will work with EHR data to identify cohorts and reconstruct diagnostic journeys across ten diseases, integrating notes, diagnoses, procedures, medications, and labs to support disease-risk modeling.

Responsibilities include writing Python and SQL, building reproducible data pipelines, and collaborating with clinicians and researchers to translate clinical questions into

Qualifications

• Bachelor's degree and three years of relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics or engineering.
• Strong writing and analytical skills.

Responsibilities

• Develop and evaluate methods to identify rare-disease cohorts using structured EHR data and clinical text.
• Build reproducible pipelines that organize clinical events into patient diagnostic timelines.
• Create annotation and review tools that help clinicians validate extracted information.
• Investigate data-quality issues and refinement of computational methods.
• Develop performance metrics and automated tests for timeline extraction and risk models.
• Translate analyses into datasets, figures, and manuscript contributions.

Skills

MS Office

Analytical skills

Writing skills

Time management

Education

Bachelor's degree + 3 years experience

Tools

Python

SQL

Job description

Stanford School of Medicine seeks a Research Data Analyst 2 to explore how rare diseases emerge in patient histories. You will work with EHR data to identify cohorts and reconstruct diagnostic journeys across ten diseases, integrating notes, diagnoses, procedures, medications, and labs to support disease-risk modeling.

Responsibilities include writing Python and SQL, building reproducible data pipelines, and collaborating with clinicians and researchers to translate clinical questions into