AI & Multi-Omics Research Appointments
Mohamed bin Zayed University of Artificial Intelligence
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi leads AI-driven research at the intersection of genomics, multi-omics, and personalized medicine. The Human Phenotype Project and Emirati Genome Project data guide our work to identify novel biomarkers and develop predictive models.
The Biological and Life Sciences Division seeks researchers to advance interdisciplinary projects, publish in top venues, supervise students, and contribute to AI infrastructure and grant
Qualifications
- PhD required in a quantitative field.
- Strong background in data science, bioinformatics, AI, and multi-omics.
- Proficiency in AI algorithms, models, and frameworks.
- Programming in Python and ML libraries (TensorFlow, PyTorch, Nextflow).
- Track record of publications in top venues.
- Excellent problem solving and communication skills.
- Ability to work independently and in teams.
Responsibilities
- Conduct high quality AI research on multi-omics data analysis for precision medicine.
- Design and implement innovative AI algorithms and models.
- Collaborate with team members and contribute to ongoing projects.
- Analyze and interpret research data, present findings clearly.
- Write and publish research papers in high-impact venues.
- Present research at national and international conferences.
- Collaborate with global research groups.
- Mentor PhD/MSc students and Research Engineers as needed.
- Maintain and upgrade lab AI research infrastructure.
- Assist in grant writing and organizational activities.
- Engage in educational and outreach activities.
Skills
Education
Tools
Job description
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi leads AI-driven research at the intersection of genomics, multi-omics, and personalized medicine. The Human Phenotype Project and Emirati Genome Project data guide our work to identify novel biomarkers and develop predictive models.
The Biological and Life Sciences Division seeks researchers to advance interdisciplinary projects, publish in top venues, supervise students, and contribute to AI infrastructure and grant
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
