
51 - 200 employees
Founded 2022
đ Pharmaceuticals
đ€ Artificial Intelligence
đ€ B2B
đ° $2.5M Grant - Newel Health on 2023-02
Pharmaceuticals âą Artificial Intelligence âą B2B
Newel Health is an AI-driven digital health company that develops regulatory-grade digital medical devices and software-as-a-medical-device (SaMD) in partnership with pharmaceutical and medtech companies. It co-develops evidence-based therapeutics, digital biomarkers, endpoints, and companion apps across cardiometabolic disease, neurological conditions (including Parkinsonâs), and chronic pain, and acts as a legal manufacturer responsible for regulatory compliance (ISO 13485, MDR, FDA-aligned). Its H. Core platform integrates AI, behavioral science, and real-world data to build, scale, and deploy clinical-grade digital therapeutics and remote monitoring solutions for healthcare systems and pharma partners.
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51 - 200 employees
Founded 2022
đ Pharmaceuticals
đ€ Artificial Intelligence
đ€ B2B
đ° $2.5M Grant - Newel Health on 2023-02
Pharmaceuticals âą Artificial Intelligence âą B2B
Newel Health is an AI-driven digital health company that develops regulatory-grade digital medical devices and software-as-a-medical-device (SaMD) in partnership with pharmaceutical and medtech companies. It co-develops evidence-based therapeutics, digital biomarkers, endpoints, and companion apps across cardiometabolic disease, neurological conditions (including Parkinsonâs), and chronic pain, and acts as a legal manufacturer responsible for regulatory compliance (ISO 13485, MDR, FDA-aligned). Its H. Core platform integrates AI, behavioral science, and real-world data to build, scale, and deploy clinical-grade digital therapeutics and remote monitoring solutions for healthcare systems and pharma partners.
âą Develop intelligent models that personalize digital therapies. âą Work with real-world data from SaMDs to design machine learning pipelines that predict health risks. âą Build scalable data pipelines for model training, testing, and deployment. âą Work closely with engineering to embed models into production SaMDs. âą Ensure models meet explainability, reproducibility, and regulatory standards. âą Evaluate generative AI tools for education and coaching applications.
âą 4+ years in ML/AI engineering, preferably with digital health datasets. âą Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines. âą Strong skills in Python, data wrangling, and real-world signal processing. âą Understanding of clinical validation, bias mitigation, and privacy-preserving ML.
âą remote-first culture âą Support from cross-disciplinary teams passionate about patient outcomes âą Collaboration with leading partners in Pharma, MedTech, and academic research
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