Orthodontic AI Scientist — Predictive Treatment Models

DXC Luxoft; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Luxoft, a global technology consultancy, seeks an AI Scientist to develop predictive models for orthodontic treatment planning and appliance design. You will work at the intersection of AI, biomechanics and healthcare data science, collaborating with clinicians and engineers to design robust, explainable AI solutions.

The role involves handling large clinical and imaging datasets, leading experimental design and publishing findings.

Qualifications

• PhD or MS in AI/ML or related quantitative field.
• 3+ years in advanced predictive model development.
• Statistical modeling, ML, predictive analytics, experimental design, hypothesis testing.
• Bayesian methods and probabilistic modeling.
• Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
• Ability to learn unfamiliar domains quickly.
• Strong communication; explaining complex concepts to non-technical audiences.

Responsibilities

• Develop predictive and prescriptive ML models for orthodontic appliances.
• Design algorithms to forecast treatment outcomes, duration, tooth movement, and compliance.
• Compare statistical, ML, deep learning, probabilistic and physics-informed approaches.
• Build explainable AI solutions and model validation/monitoring frameworks.
• Lead experimental design and statistical analysis; assess bias and uncertainty.
• Work with large clinical, imaging, treatment and manufacturing datasets.
• Collaborate with orthodontists, biomechanical engineers, software engineers and PMs.
• Contribute to internal publications and IP generation.

Skills

Predictive modeling

Statistical modeling

Bayesian methods

Python/SQL

Learning quickly

Strong communications

Education

PhD in AI/ML

MS in related field

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Luxoft, a global technology consultancy, seeks an AI Scientist to develop predictive models for orthodontic treatment planning and appliance design. You will work at the intersection of AI, biomechanics and healthcare data science, collaborating with clinicians and engineers to design robust, explainable AI solutions.

The role involves handling large clinical and imaging datasets, leading experimental design and publishing findings.