Zealth is building remote monitoring software to help hospitals provide automated continuous round-the-clock support to their cancer patients post-discharge.
Hospitals are overburdened with no resources to provide care to their chronic patients once they leave the hospital. For instance, in India, there are only 2200 oncologists for 1.38 billion people. Patients travel 100 miles waiting for hours to get few minutes with the doctors. They have no easy means to manage all the toxicities and symptoms they get once they are back home.Zealth bridges this gap through its digital health intervention platform.
We are a passionate team of medical & technical experts aiming to make sure every patient gets the best care they deserve.
🏥 Zealth helps patients suffering from serious diseases like cancer, manage their condition at home and stay connected with their doctor through its machine learning based remote monitoring software.
Do send us a message if the following interests you -
Monika Mehta, who has done her PhD in Cancer Biology from NUS, worked in various drug discovery projects during her time in Roche. Dheeraj Mundhra, have built & deployed multiple machine learning based products in healthcare as a part of scaling up startups in the last 7 years.
🖥️ Our current tech stack is node.js, AWS, MongoDB, Flutter along with Amazon & Google’s ML tools. Our core prediction algorithms are built over graphs.
💻 An ideal candidate would have 4-5 years of experience & would have architectured, built and deployed at least one application using node.js & any mobile application technology (Native, React Native, Flutter) that >10K users are currently paying for. Past experience leading a technical team or past experience with building machine learning based systems would be a bonus.
The responsibilities include
📥 If this sounds interesting - please write to us. Would love to hear about your experience taking a product / startup from 0 to 1!
Our product comprises of expertise in multiple domains.
Our mobile application is built using Flutter in the front end - and Node JS in the backend. We use GraphQL with MongoDB & integrate with a wide range of services - including health devices, chatbots, document recognition and our unique triaging algorithms. We have a graph based learning algorithm in the backend to ensure the patients are triaged for concerns in their health!
If you are looking for a fast-paced environment with new challenges coming up every single day - Join our multi-disciplinary team of technical and medical experts passionate about improving healthcare!