Healthcare Data Scientist – AI Solution Evaluation & Validation

📍 Dubai

About the Role

My client, a leading international healthcare organization, is driving a major AI transformation across global operations. Their Central AI Office is focused on identifying, validating, and integrating the best AI solutions to transform care delivery and operations.

As a Healthcare Data Scientist in the AI Solution Evaluation & Validation team, you’ll play a critical role in assessing third-party AI technologies — testing performance, robustness, and suitability for real-world healthcare use cases. Instead of building models from scratch, your focus will be on technical due diligence, validation, and impact assessment — separating hype from reality to guide strategic AI adoption.

Key Responsibilities

• Conduct rigorous technical assessments of vendor AI solutions, analyzing models, methods, and performance claims.
• Design and execute robust evaluation methodologies and testing protocols for diverse AI applications (predictive, NLP, imaging, etc.).
• Prepare and analyze datasets for validation; run experiments and assess accuracy, bias, and generalizability.
• Develop metrics and statistical tests to evaluate model performance and reliability.
• Interpret and communicate evaluation outcomes clearly for technical and business stakeholders.
• Collaborate with Product, AI Architecture, and Data teams to ensure validated solutions can integrate smoothly into production environments.
• Document methodologies, findings, and recommendations for “Go/No-Go” decisions.

Qualifications

Essential:

• Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• 3–5+ years of hands-on experience in Data Science or Machine Learning roles.
• Proficiency in Python or R, and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong grasp of model validation techniques (cross-validation, A/B testing, bias assessment).
• Solid statistical and analytical skills; experience working with large datasets and SQL.

Preferred:

• Experience evaluating third-party AI/ML solutions or MLaaS platforms.
• Background in healthcare or familiarity with medical data (EHR, claims, imaging, genomics).
• Knowledge of ethical AI, fairness, and bias mitigation principles.
• Exposure to cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform).
• Understanding of data governance, privacy, and compliance frameworks (HIPAA, GDPR)

*** Only successful candidates will be contacted ***