Description
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
- Agentic and robotic workflow management systems
- Multi-omics and Integrative Data Analysis
- Population-level Cohort and EHR Analysis
- Epidemiology
- Pandemics
- Biomedical Imaging
The Biological and Life Sciences Division is recruiting for our interdisciplinary team of researchers to advance work on projects such as Human Phenotype Project and Emirati Genome Project data.
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.
- Solid understanding of AI algorithms, models, and frameworks.
- Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch, Nextflow).
- Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills in English.
- Ability to work independently and collaboratively in a team environment.
- Demonstrated ability to manage and prioritize multiple tasks and projects.
