Biological and Life Sciences Division - Open Rank Faculty 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.

This project involves deep profiling of participants through comprehensive data collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi- omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers.

The division leverages this data and advanced AI , medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic interventions.

Research areas of interest include, but not limited to: Computational and Systems Biology Medical and Health Informatics Personalized Medicine Foundation AI Models Multi-omics and Integrative Data Analysis Population-level Cohort and EHR Analysis Epidemiology Pandemics Biomedical Imaging Faculty joining the division will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine.

Another flagship project, t he Emirati Genome Project (EGP), is a national initiative to map the UAE population’s genetic profile, enabling personalized and preventive healthcare through advanced genomic research.

Benefits

Existing genetic models ( largely based on European populations) are less accurate for Emiratis Enables earlier diagnosis and targeted prevention strategies for high-risk individuals Supports equitable , data-driven healthcare tailored to the local population Contributes to national research, public health policy, and future drug discovery Mohamed bin Zayed University of Artificial Intelligence( MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good.

The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors. The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond.

Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.

Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Build State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

To apply for this position, please submit the following items: Cover Letter Curriculum Vitae Statement of research vision and interests Statement of teaching interests, experience, and philosophy List of key publications for last five years and Google Scholar H-Index Name and contact details for three referees (Referees will be contacted during the recruitment process to upload their reference letter via Interfolio ) We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply.