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Stanford, CA, United States
Source: Stanford University careers · View original posting
From Stanford University's posting. “We” and “our” refer to the employer.
Manage and analyze large amounts of information, which is typically technical or scientific in nature including creating large and complex data sets, abstracting and formatting data, importing and exporting data between files, performing statistical analysis, and preparing reports and manuscripts for publication.
Stanford’s Division of Computational Medicine brings together expertise in biomedical informatics, data science, and medicine to tackle complex questions about human health. We develop computational and statistical methods that help researchers make sense of health data and generate evidence for clinical and translational research.
We are seeking a Research Data Analyst 2 to help reveal how rare diseases emerge in patients’ medical histories. Working with electronic health records from Stanford patients with confirmed diagnoses, you will develop methods to identify patient cohorts and reconstruct diagnostic journeys across 10 rare diseases. Your work will connect information from clinical notes, diagnoses, procedures, medications, and laboratory results to support research on disease recognition and risk modeling.
In this role, you will contribute throughout the research process, from translating clinical questions into computational methods to evaluating results and sharing findings in publications and presentations. You will write Python and SQL code, build tools that bring clinical expertise into method development, and work closely with faculty, clinicians, and technical researchers.
This is an opportunity to apply your programming and analytical skills to clinically meaningful questions while deepening your experience in biomedical data science.
This position offers a hybrid schedule, with onsite work three days per week, subject to operational needs. Please submit a resume and cover letter describing your relevant experience and interest in computational approaches to rare-disease research.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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