Healthcare Data Scientist Position in Liom Health AG
vor 1 Tag
Liom Health AG is a Swiss health-tech company revolutionizing personalized health monitoring. Our mission is to develop non-invasive glucose monitoring wearables, launching as a consumer product in the EU and medically cleared in the US.
Job DescriptionWe are seeking an experienced Machine Learning Algorithm Engineer to join our team of over 80 staff, including 50+ PhDs. Your primary focus will be developing a system model for a health wearable and optimizing ML/AI algorithms.
Responsibilities- Develop a system model for a health wearable device
- Design and optimize machine learning algorithms for accurate health signal processing
- Optimize system performance within a strict resource budget
To succeed in this role, you'll need:
- At least 3+ years of experience in training and optimizing machine learning models for time series data (health signals, audio, video)
- Familiarity with machine learning frameworks (PyTorch, TensorFlow) and inference formats (TFLite, ONNX)
- Experience with system modeling and analysis using tools like MATLAB Simulink
- Knowledge of digital signal processing and controls relevant to wearables
At Liom Health AG, we prioritize work-life balance, diversity, and mentorship. Enjoy a dynamic environment with colleagues from diverse backgrounds, and grow your career through knowledge sharing and mentorship.
Our Recruitment ProcessWe follow a structured interview process consisting of three stages: introduction video call, technical interview, and on-site interview.
CompensationBased on industry standards and your qualifications, the estimated salary range is between $120,000 - $180,000 per year, depending on experience and location.
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