R&D AI Scientist for Orthodontics

грейд
middle
формат
офис Мадрид
страна
Испания
язык
Английский B1
опубликована
вчера

описание

The company provides orthodontic solutions, including products and technologies for orthodontists and patients worldwide.

задачи

  • Develop predictive and prescriptive ML models for orthodontic appliances and treatment modalities
  • Design algorithms to forecast treatment outcomes, duration, tooth movement, patient compliance, and appliance effectiveness
  • Compare statistical, ML, deep learning, probabilistic, and hybrid physics-informed approaches
  • Build explainable AI solutions and model validation and monitoring frameworks
  • Lead experimental design and statistical analysis; assess bias, uncertainty, and clinical significance
  • Work with large clinical, imaging, treatment, and manufacturing datasets, including 3D scans, imaging, and treatment plans
  • Collaborate with orthodontists, biomechanical engineers, software engineers, and product managers
  • Contribute to internal publications and IP generation

требования

  • Ph.D. or M.S. in AI, ML, Statistics, Computer Science, Applied Mathematics, Biomedical Engineering, or a related quantitative discipline
  • 3+ Years developing advanced predictive models in industry or research
  • Knowledge of statistical modeling, ML, predictive analytics, experimental design, and hypothesis testing
  • Knowledge of Bayesian methods and/or probabilistic modeling
  • Experience with Python, SQL, scientific computing, and ML libraries such as PyTorch, TensorFlow, and Scikit-learn
  • Ability to learn unfamiliar domains quickly
  • Strong communication skills and ability to explain complex concepts to non-technical audiences
  • Будет плюсом: healthcare, medical devices, digital dentistry, orthodontics, biomechanics or regulated environments; imaging, computer vision, geometric modeling or 3D data; causal inference and real-world evidence analysis; explainable AI for healthcare; publications, patents or research contributions; cloud ML and MLOps; leading cross-functional scientific initiatives

условия

  • Условий в вакансии нет

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