Rare-Disease EHR Data Analyst II

SLAC; Palo Alto (CA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Stanford University’s Division of Computational Medicine is seeking a Research Data Analyst 2 to reveal how rare diseases emerge in patients’ medical histories. You will work with Stanford patient data to identify cohorts and reconstruct diagnostic journeys across multiple diseases, integrating notes, diagnoses, procedures, medications, and lab results.

Proficiency in Python and SQL is expected, with collaboration across faculty and clinicians.

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 to help clinicians validate extracted information and guide 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 clear datasets, figures, reports, presentations, and manuscript contributions.
• Document methods, validation results, and limitations so findings are understandable and reproducible.
• Collaborate with clinical and technical colleagues to shape methods, interpret results, and advance the research.

Job description

Stanford University’s Division of Computational Medicine is seeking a Research Data Analyst 2 to reveal how rare diseases emerge in patients’ medical histories. You will work with Stanford patient data to identify cohorts and reconstruct diagnostic journeys across multiple diseases, integrating notes, diagnoses, procedures, medications, and lab results.

Proficiency in Python and SQL is expected, with collaboration across faculty and clinicians.