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© All Rights Reserved. ApplyBlast.com
UCSF
This role bridges the gap between complex biomedical research and modern data engineering, ensuring data is robust, clean, secure, and AI-ready for multi-center research activities. The position involves building scalable data systems, managing the complete data lifecycle from acquisition to archival, and driving data harmonization across fragmented clinical and preclinical trial datasets. The role requires establishing technical standards compliant with NIH policies and supporting advanced analytics and machine learning pipelines.
Headquarters
San Francisco, California, United States
Company Size
10001+ employees
Founded
1873
UCSF (University of California San Francisco) is a leading university dedicated exclusively to health — combining top-ranked patient care, biomedical research, and health sciences education. It operates hospitals, research institutes, and training programs that drive discoveries in basic science, translational medicine, and public health. UCSF emphasizes innovation, entrepreneurship, and community benefit to translate breakthroughs into better treatments and population health outcomes. Philanthropy and partnerships support its mission to lead revolutions in health.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for UCSF.
UCSF didn’t post a salary, so this is our estimate from similar listings.
59% above the average for this role
Data Engineer
The Regents of the University of California San Francisco
Data Engineer
The Regents of the University of California San Francisco
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