AI Algorithm Tech Lead
Aidoc
AI Algorithm Tech Lead
Aidoc
Builds AI that flags urgent findings in medical scans
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
This is a role in Aidoc’s core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Our Perks:
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Aidoc uses artificial intelligence to analyze medical images and assist radiologists. Its aiOS platform plugs into hospital PACS and runs in the background to flag urgent findings on CT and X-ray scans, sending alerts to radiologists and clinical teams to speed diagnosis and treatment. It operates as an enterprise system that can run Aidoc’s own algorithms alongside third-party AI apps within existing workflows. The company aims to improve patient outcomes and hospital efficiency by triaging time-sensitive cases and is regulated with FDA clearances and CE marks while pursuing CARE to accelerate the development of new imaging algorithms.
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