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Artificial Intelligence and Computational Biology● OpenPostdocOpen until filledPreview

Postdoctoral Associate in AI for Precision Medicine and Therapeutics

Develop advanced AI and network data science algorithms to drive precision medicine using multi-omics datasets.

Best for:Best for researchers with a PhD in quantitative fields and a strong background in AI, machine learning, and bioinformatics applications.

Mohamed bin Zayed University of Artificial Intelligence · Abu Dhabi, United Arab Emirates · R2 · Recognised researcher

More professors at Mohamed bin Zayed University of Artificial Intelligence

Artificial IntelligencePrecision MedicineMulti-omics Data AnalysisNetwork Data ScienceBioinformaticsComputational Biology

This is a postdoc position — not a PhD studentship.

Deadline

Until filled

rolling

Funding

Salaried

Competitive salaries aligned with leading global academic institutions

Start date

ASAP

Full-time

Location

Abu Dhabi

United Arab Emirates

Overview

The Mohamed bin Zayed University of Artificial Intelligence is seeking a talented Postdoctoral Associate to join the Biological and Life Sciences Division. Working under the supervision of Prof. Natasa Przulj, the successful candidate will develop AI and network data science algorithms to mine molecular multi-omics and medical data for precision medicine. The role involves leveraging exclusive datasets from the Human Phenotype Project and the Emirati Genome Project to discover novel therapeutics. The appointee will conduct high-quality research, publish in top-tier venues, and collaborate within an interdisciplinary academic team.

Postdoctoral AssociateAIMachine LearningPrecision MedicineGenomicsMulti-omicsBioinformaticsNetwork Science

What you'll do

Conduct high-quality research focused on AI-driven multi-omics data analysis and fusion for precision medicine applications.
Design and implement innovative AI and machine learning algorithms to solve complex biomedical problems.
Collaborate with interdisciplinary team members on ongoing research projects and international initiatives.
Analyze and interpret research findings, presenting results to both technical and non-technical stakeholders.
Write and publish peer-reviewed papers in high-impact journals and top-tier academic conferences.
Help supervise PhD students, Master's students, and research engineers as needed.
Contribute to the development and maintenance of the laboratory's AI research infrastructure.
Participate in grant writing, organizational activities, and educational outreach.

Requirements

Degree required: PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative field

Language: English; excellent written and verbal communication skills

Instruction: English

Publications: Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields

Required skills

Strong background in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or genomics
Proficiency in programming languages commonly used in AI and bioinformatics research such as Python
Demonstrated record of peer-reviewed publications in top-tier conferences or journals
Strong problem-solving, analytical, and independent research capabilities
Ability to work collaboratively within an interdisciplinary team environment

Nice to have

Experience with Large Language Models or agentic AI architecturesFamiliarity with parallel computing environments and scientific computing toolsBackground in network biology, network medicine, or computational chemistry

Funding & terms

Type

Salaried

Amount

Competitive salaries aligned with leading global academic institutions

Duration

—

Programme

Mohamed bin Zayed University of Artificial Intelligence

How to apply

Interested candidates should email Prof. Natasa Przulj directly with all required application materials including a CV, cover letter, references, and transcripts.

Documents required