Data Scientist

We’re looking for a research-driven yet hands-on Data Scientist to join an AI R&D team developing cutting-edge solutions in medical imaging and healthcare analytics.
The role combines algorithmic innovation with engineering implementation, bridging research and real-world impact.

Key Responsibilities

• Research and develop novel AI and Deep Learning methods for medical imaging and predictive modeling.

• Design and optimize architectures such as CNNs, Vision Transformers, and GANs.

• Integrate multimodal, self-supervised, and federated learning approaches.

• Develop interpretable and fair AI models, addressing bias and explainability in healthcare.

• Collaborate with clinical and engineering teams to bring research into production.

• Work with cloud-based environments (Azure, Databricks) and MLOps pipelines to scale models into real use.

Qualifications

• Master’s or Ph.D. in Data Science, Computer Science, Biostatistics, or a related quantitative field.

• Proven experience in Machine Learning and Deep Learning, ideally in Computer Vision or medical data.

• Proficiency in Python, R, SQL, and Azure-based data workflows (or equivalent).

• Strong grasp of model evaluation metrics for both classification and regression.

• Familiarity with medical imaging formats (DICOM/PACS) and regulatory-compliant validation processes.

• Excellent communication skills — able to translate complex technical ideas into actionable insights.

Nice to Have

• Experience with interpretable AI (XAI) and explainability frameworks.

• Background in end-to-end ML pipelines, including data ingestion, model serving, and monitoring.

• Understanding of AI ethics and bias mitigation in healthcare applications.

📩 If you’re passionate about applying AI to real medical challenges and thrive at the intersection of science and engineering — we’d love to hear from you.
Send a short note or CV in English for more details.