Biological and Life Sciences Division – Research Appointment Positions
The Biological and Life Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi is at the forefront of research at the intersection of Genomics, Multi-Omics, Personalized Medicine, Precision Therapeutics, Epidemiology, and Artificial Intelligence (AI). A key initiative within the division is the Human Phenotype Project—a groundbreaking, large-scale longitudinal cohort and biobank designed to identify novel molecular markers with diagnostic, prognostic,…
and therapeutic value.
Research areas of interest include, but not limited to:
- Computational and Systems Biology
- Medical and Health Informatics
- Personalized Medicine
- Foundation AI Models
- Agentic and robotic workflow management systems
- Multi-omics and Integrative Data Analysis
- Population-level Cohort and EHR Analysis
- Epidemiology
- Pandemics
- Biomedical Imaging
Key Responsibilities:
- Conduct high-quality research in the field of AI, focusing on multi-omics data analysis and fusion for precision medicine
- Design and implement innovative AI algorithms and models to solve complex problems
- Collaborate with team members and contribute to ongoing research projects
- Analyze and interpret research data, and present findings to both technical and non-technical audiences
- Write and publish research papers in high-impact peer-reviewed journals and conferences
- Present research at national and international conferences and meetings
- Collaborate with various research groups across the world
- Stay up to date with the latest advancements and trends in the field
- Help supervise PhD and MSc students and Research Engineers, as needed
- Contribute to the development and maintenance of our lab’s AI research infrastructure
- Participate in grant writing and organizational activities
- Participate in educational and outreach activities
Qualifications
This position requires a PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative field. Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas.
