AI/ML Engineer
Location: Remote (Europe-based preferred)
Type: Full-time
Industry: Digital Health, SaMD, DTx
Reports to: Head of Data Science
Position Overview
Newel Health is looking for an AI/ML Engineer to develop intelligent models that personalize digital therapies. You will work with real-world data from our SaMDs to design machine learning pipelines that predict health risks, optimize interventions, and enable adaptive care pathways on our H.Core platform.
Key Responsibilities
- Design and train supervised and unsupervised learning models on longitudinal health data.
- Build scalable data pipelines for model training, testing, and deployment.
- Work closely with engineering to embed models into production SaMDs.
- Ensure models meet explainability, reproducibility, and regulatory standards.
- Evaluate generative AI tools for education and coaching applications.
Required Qualifications
- 4+ years in ML/AI engineering, preferably with digital health datasets.
- Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.
- Strong skills in Python, data wrangling, and real-world signal processing.
- Understanding of clinical validation, bias mitigation, and privacy-preserving ML.
Why Join Newel Health
- Shape the next generation of digital health solutions.
- Work in a certified SaMD environment at the forefront of behavioral science and AI.
- Collaborate with leading partners in Pharma, MedTech, and academic research.
- Enjoy a remote-first culture, supported by cross-disciplinary teams passionate about patient outcomes.
- Be part of an organization building scalable, evidence-based impact in chronic care management.
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