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About Rhino Health
AI has not achieved its full potential in healthcare. Rhino Health aims to fix that. Today, AI developers face tremendous hurdles in training their models on sufficiently large & diverse datasets because of privacy concerns. Rhino Health’s Federated Computing Platform (FCP) unlocks healthcare data collaborations by allowing developers to train their models on data without ever taking possession of that data.
Rhino Health offers healthcare organizations and data scientists an end-to-end federated computing platform, which enables data collaboration while protecting patient data privacy. This platform uses edge computing and federated learning, leaving data at rest at each site, thus lowering the barrier to wider adoption of AI in healthcare and making multi-site collaboration seamless. Users can collaborate with a network of dozens of leading medical centers around the world, centrally performing data pre-processing, harmonization, model training & validation, and results analysis with no data ever leaving any medical center’s firewall.
The company is headquartered in Boston, with an R&D center in Tel Aviv.
About the Role
The Senior Backend Engineer will be responsible for enhancing and scaling Rhino Health’s Federated Computing Platform (FCP). The platform you will be enhancing is being used around the world to power cutting edge AI/ML research and development for healthcare, ultimately driving a shift in healthcare innovation and delivery. You will be responsible for developing new features and enhancements spanning several different technologies and will be expected to learn new technologies as this field is evolving rapidly. You will work closely with other backend engineers, frontend engineers, devops engineers, data scientists, product managers, and business stakeholders across the company. Day-to-day, your role will be architecting, designing, and developing backend components in python. You will also work closely with frontend development in JavaScript, with infrastructure development on k8s with terraform, and with data science and AI/ML development using a wide range of model architectures and libraries. This role is for a fast learner who loves technology and is excited to build a cutting edge platform that will improve healthcare around the world.
Requirements
Candidates should have the experience described below: