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Join a forward-thinking company dedicated to transforming healthcare through innovative technology. As a Senior Machine Learning Scientist, you will leverage your expertise in deep learning to develop cutting-edge algorithms that identify high-risk patients and enhance care coordination. This role offers a unique opportunity to collaborate with industry leaders and contribute to impactful solutions in population health management. If you are passionate about using AI to make a difference in healthcare, this is the perfect chance to join a dynamic team and help shape the future of medical technology.
Despite spending far more of its gross domestic product (17% of GDP) on healthcare than any other industrialized nation, the U.S. ranks last on access to care, administrative efficiency, equity, and healthcare outcomes. In the largest ever realignment of incentives, Centers for Medicare & Medicaid (CMS) have committed billions to value-based payments that aim to promote care efficiency and reduced spend. The organizations that will succeed in this new model will move quickly towards predictive healthcare.
PreemptiveAI is enabling providers, payers, and digital health entities to identify the highest-risk patients and prioritize them for care coordination and targeted interventions, in order to prevent escalations. Using deep learning to analyze real-time smartphone and wearable sensor data, its technology can map physiological health risk in real time, enabling the future of population health management.
We are seeking a Senior Machine Learning Scientist to build deep learning algorithms for our suite of mobile health sensing products. In this role, you will work alongside world leaders in AI for healthcare to develop, train, and evaluate new production ML models.
To be successful in this role, it would help if you have:
Required qualifications:
What’s in it for you?
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