What could you build on top of real-time and non-invasive glucose monitoring? That is what
Liom is all about, and we want to beat Apple at it.
Machine learning, personalized health, predictive, and preventative medicine. If these areas resonate with you, join us to work on foundational technological and scientific challenges at Liom. We are a Swiss HealthTech venture with the vision to use state-of-the-art rich and miniaturized measurement techniques to continuously monitor and learn from a wide range of vital indicators, to prevent chronic diseases, to customize health lifestyles and, to generally improve your health.
Using our revolutionary, miniaturized, and tested proprietary optical sensors, Liom is building a cutting-edge biomedical data generation pipeline to train medical-grade machine learning algorithms to infer glucose non-invasively and transcutaneously from spectral measurements. To achieve our vision, our team and advisory board consist of world experts coming from top academic institutions (ETH, EPFL, Columbia, Princeton, MIT, Stanford, and Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for team-oriented, talented, experienced, fearlessly curious, and self-driven professionals to join an A-team of doers:
Liom Publishes Groundbreaking Calibration-Free Non-Invasive Glucose Monitoring Results in JDST
After 5+ years in R&D phase, we are sprinting towards product development phase to launch to market. Therefore, joining as one of the first 70 permanent employees provides you great opportunities for growth in responsibilities and impact.
ResponsibilitiesAs a Principal/Senior ML Scientist, you will research and collaboratively build computational solutions to real-world problems in our domain: a continuous non-invasive multi-biomarker monitoring smartwatch. Your work involves acquiring and smartly combining deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics, and manufacturing).