MINIMUM QUALIFICATIONS

• Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.
• Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.
• Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).
• Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.
• Solid understanding of data governance, ethics, and regulatory compliance.

PREFERRED QUALIFICATIONS

• Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.
• Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.
• Familiarity with UAE regulatory frameworks and international sustainability initiatives.
• Strong stakeholder management and science communication skills.