Materials Informatics Scientist (Evaluation-focused)
Core
Define evaluation standards, design benchmarking frameworks, and validate AI models for materials discovery to ensure performance claims are meaningful and decision-relevant.
Role type
Senior IC materials informatics scientist (evaluation & validation)
Builds
Evaluation frameworks, benchmarking protocols, and analytical tooling for AI model validation
Domain
Materials science + Machine Learning
Deliverable
production ML models
Required skills
Python, scientific data tooling, model evaluation, benchmarking, uncertainty quantification, data analysis, visualization, scientific rigor
Preferred skills
Materials science, chemistry, physics, machine learning, English fluency, additional languages
Technologies
Python (via careerplan.io/jobs/2516249-materials-informatics-scientist-evaluation-focused-at-dunia-innovations-gmbh)
Responsibilities
Design and maintain evaluation frameworks for AI models; Define metrics and protocols for generalization and robustness; Systematically benchmark different model classes; Link model behavior to experimental results; Develop analysis pipelines for reproducible evaluation; Present findings to researchers and leadership
