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This position was posted on April 10, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
April 10, 2026
Full Job Description
📋 Description
- • As a Software Engineer at Dandelion Health, you will design and implement scalable software systems for de-identifying massive healthcare datasets, including billions of rows of structured data and millions of medical images each month, ensuring patient privacy while enabling AI innovation in healthcare.
- • Your day-to-day work will involve building and optimizing de-identification pipelines in AWS cloud environments, creating quality assurance plans to validate data privacy processes, and collaborating with privacy experts and clinical informaticists to define and improve de-identification rules.
- • Dandelion Health is a mission-driven health tech company founded in 2020, building the world’s largest AI training and clinical development platform by partnering with major U.S. health systems to securely provide de-identified patient data for AI developers, pharma, and medical device companies.
- • In this role, you will deepen your expertise in healthcare data privacy, large-scale data processing, and cloud-based software engineering while contributing directly to improving patient safety and enabling responsible AI development in medicine.
Skills & Technologies
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About Dandelion Health, Inc.
Dandelion Health is a digital health company focused on improving maternal and infant care. They offer a comprehensive platform that connects expecting parents with healthcare providers, providing tools for remote monitoring, appointment scheduling, and educational resources. Their services aim to streamline the maternity journey, enhance communication between patients and doctors, and ultimately improve health outcomes for mothers and babies. Dandelion Health operates within the digital health and telehealth industry, leveraging technology to make high-quality prenatal and postnatal care more accessible and efficient.
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