Join CNRS as a Research Engineer / Data Scientist specializing in AI for healthcare, contributing to innovative projects that advance medical research and improve patient outcomes through cutting-edge machine learning and data analysis techniques.

We are seeking a talented Research Engineer / Data Scientist in AI for Health to join our dynamic team at CNRS. In this role, you will develop and implement advanced AI models to analyze complex healthcare data, supporting groundbreaking research in areas such as predictive diagnostics, personalized medicine, and epidemiological modeling. Your work will involve collaborating with medical experts, processing large-scale datasets from clinical trials and genomic sources, and deploying scalable AI solutions to drive scientific discoveries. This position offers the chance to contribute to high-impact projects that bridge artificial intelligence with healthcare innovation, all within a prestigious national research institution committed to excellence and societal benefit. Responsibilities include designing experiments, evaluating model performance, ensuring ethical AI practices, and disseminating findings through publications and presentations. If you are passionate about leveraging AI to transform healthcare, this is an ideal opportunity to make a meaningful difference.

• Advanced degree (Master's or PhD) in Computer Science, Data Science, AI, or a related field
• Proven experience in machine learning, deep learning, and AI applications in healthcare
• Proficiency in Python, R, and relevant libraries such as TensorFlow, PyTorch, and scikit-learn
• Strong knowledge of data processing, statistical analysis, and big data technologies
• Experience with healthcare datasets, medical imaging, or bioinformatics is highly desirable
• Excellent problem-solving skills and ability to work in interdisciplinary teams
• Fluency in French and English; additional languages are a plus
• Prior research publications or contributions to open-source AI projects preferred

• Competitive salary and comprehensive health insurance coverage
• Generous paid time off, including 35-hour workweek and additional research leave
• Access to state-of-the-art facilities and ongoing professional development opportunities
• Collaborative environment with leading scientists and international partnerships
• Support for work-life balance, including flexible working hours and remote options
• Contributions to pension and retirement plans
• Opportunities for conference attendance and publication support