Your mission
What could you build on top of real-time and non-invasive Glucose monitoring? That is what Spiden is all about, and we want to beat Apple at it: https://t.ly/krj7d
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Spiden. We are a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better manage chronic diseases, to customize critical treatments and, to improve your health.
Using proprietary optical sensors, Spiden is building a cutting-edge biomedical data generation pipeline to train medical-grade Machine Learning algorithms to infer glucose 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, or Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for talented, experienced, voraciously curious, and self-driven professionals to join an A-team of doers: https://t.ly/vmCKi
After 4+ years in R&D phase, we are sprinting towards product development phase to launch to market. Therefore, joining as one of the first 60 permanent employees provides you great opportunities for growth in responsibilities and impact.
Responsibilities
As a Sr. Algorithm Engineer / Data Scientist (PPG), you will research and collaboratively build computational solutions to real world problems in our domain: a continuous non-invasive glucose monitoring smartwatch. Your work involves being able to acquire and smartly combine deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics and manufacturing). For this opening in particular, we are looking for a Photoplethysmography (PPG) expert with extensive industry exposure to real world data challenges, working with multi-biosignal combinations (raw PPG, accelerometer and giroscope) for pulse, SpO2 and activity detection algorithms.
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Spiden. We are a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better manage chronic diseases, to customize critical treatments and, to improve your health.
Using proprietary optical sensors, Spiden is building a cutting-edge biomedical data generation pipeline to train medical-grade Machine Learning algorithms to infer glucose 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, or Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for talented, experienced, voraciously curious, and self-driven professionals to join an A-team of doers: https://t.ly/vmCKi
After 4+ years in R&D phase, we are sprinting towards product development phase to launch to market. Therefore, joining as one of the first 60 permanent employees provides you great opportunities for growth in responsibilities and impact.
Responsibilities
As a Sr. Algorithm Engineer / Data Scientist (PPG), you will research and collaboratively build computational solutions to real world problems in our domain: a continuous non-invasive glucose monitoring smartwatch. Your work involves being able to acquire and smartly combine deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics and manufacturing). For this opening in particular, we are looking for a Photoplethysmography (PPG) expert with extensive industry exposure to real world data challenges, working with multi-biosignal combinations (raw PPG, accelerometer and giroscope) for pulse, SpO2 and activity detection algorithms.