Job Overview

  • Date Posted
    October 20, 2026
  • Expiration date
    December 19, 2026
  • Minimum Qualification
    Doctorate Degree
  • Open Until Filled
    Yes

Job Description

The Biological and Life Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a talented and motivated Research Scientist in AI for Precision Medicine and Therapeutics.

The successful candidate will develop Artificial Intelligence and network data science algorithms for mining molecular multi-omics and medical data to advance precision medicine and support the discovery of new precision therapeutics.

The position offers the opportunity to work with an interdisciplinary research team and contribute to research involving data from the Human Phenotype Project and the Emirati Genome Project.

Employer: Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Division: Biological and Life Sciences Division
Location: Abu Dhabi, United Arab Emirates
Position: Research Scientist – AI for Precision Medicine and Therapeutics
Field: Artificial Intelligence / Computational Biology / Precision Medicine
Open Date: 21 September 2026

AI Precision Medicine Research Scientist – Position Overview

The Research Scientist will contribute to advanced interdisciplinary research spanning:

  • Artificial Intelligence.
  • Machine Learning.
  • Deep Learning.
  • Network Science.
  • Bioinformatics.
  • Genomics.
  • Multi-omics.
  • Computational Biology.
  • Medical Informatics.
  • Computational Chemistry.
  • Precision Medicine.
  • Precision Therapeutics.

The successful candidate will develop computational and AI methods for analysing complex biological and medical datasets and improving precision-medicine applications.

Artificial Intelligence for Precision Medicine

The research programme focuses on applying AI and network data science to molecular and medical data.

Relevant research areas include:

  • Precision medicine.
  • Molecular multi-omics analysis.
  • Medical-data mining.
  • Biological-data integration.
  • Patient-specific analysis.
  • Network-based biological modelling.
  • Therapeutic discovery.

Precision Therapeutics

A core objective of the position is to contribute to the discovery of new precision therapeutics.

The successful candidate will apply advanced computational methods to biological and medical datasets to generate insights relevant to precision treatment and therapeutic development.

Human Phenotype Project and Emirati Genome Project

The Research Scientist will be uniquely positioned to work with data from major research initiatives including:

  • Human Phenotype Project.
  • Emirati Genome Project.

These datasets provide opportunities for impactful research at the intersection of AI, genomics, computational biology, and precision medicine.

Genomics and Multi-Omics

The research involves molecular multi-omics and genomic data.

Relevant expertise includes:

  • Genomics.
  • Bioinformatics.
  • Multi-omics.
  • Network biology.
  • Network medicine.
  • Medical informatics.
  • Computational biology.

The successful candidate should be comfortable analysing large and complex biological datasets.

Artificial Intelligence and Machine Learning

Applicants should have strong expertise in several areas such as:

  • Artificial Intelligence.
  • Machine Learning.
  • Deep Learning.
  • Large Language Models.
  • Agentic AI.
  • Data Science.

The research environment supports both methodological development and practical application of AI techniques to biomedical problems.

Network Science and Network Medicine

The position also incorporates advanced network-based approaches.

Relevant areas include:

  • Graph theory.
  • Network theory.
  • Complexity theory.
  • Network analysis.
  • Network biology.
  • Network medicine.
  • Network analytics.

Computational Chemistry

Computational chemistry is also identified as a relevant research area for the position.

Candidates with expertise connecting computational chemistry with AI, biological data, or therapeutic discovery may contribute to interdisciplinary research within the programme.

Scientific Computing and Statistics

Applicants should demonstrate technical competence across several quantitative and computational areas, including:

  • Algorithms.
  • Data analysis.
  • Scientific computing.
  • Statistics.
  • Parallel computing.
  • Machine Learning.
  • Graph and network methods.

Programming Skills

Candidates should be proficient in programming tools commonly used in AI and bioinformatics research.

Relevant technologies include:

  • Python.
  • C.
  • C++.
  • TensorFlow.
  • PyTorch.
  • MATLAB.
  • Scripting languages.
  • Parallel-computing environments.

Research and Publication Record

Applicants should demonstrate:

  • A record of publications in top-tier conferences or journals.
  • Research activity in bioinformatics, AI, or related fields.
  • Strong analytical ability.
  • Strong problem-solving skills.

The successful candidate will contribute to advancing the state of the art in AI, Computational Biology, Precision Medicine, and related areas.

Independent and Collaborative Research

The Research Scientist should be able to:

  • Work independently.
  • Collaborate effectively with interdisciplinary researchers.
  • Manage multiple projects.
  • Prioritise competing research tasks.
  • Contribute effectively within a research team.

Required Qualification

Applicants must hold a:

  • PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative field.

Areas of Expertise

Candidates should have strong background and expertise in several of the following:

  • Data Science.
  • Bioinformatics.
  • Network Science.
  • Artificial Intelligence.
  • Machine Learning.
  • Deep Learning.
  • Large Language Models.
  • Genomics.
  • Agentic AI.
  • Computational Chemistry.
  • Related quantitative areas.

Technical Experience

Relevant technical skills include several of the following:

  • Algorithms.
  • Data analysis.
  • Graph theory.
  • Network theory.
  • Complexity theory.
  • Scientific computing.
  • Statistics.
  • Machine Learning.
  • C.
  • C++.
  • Python.
  • Scripting languages.
  • MATLAB.
  • Parallel computing.
  • Bioinformatics.
  • Network biology.
  • Network medicine.
  • Network analytics.
  • AI.
  • Deep Learning.
  • LLMs.
  • Genomics.
  • Agentic AI.
  • Medical Informatics.
  • Computational Chemistry.

Communication Skills

Applicants must demonstrate:

  • Excellent written English.
  • Excellent verbal English.
  • Ability to communicate effectively within an interdisciplinary research environment.

Why Join MBZUAI?

MBZUAI offers an environment focused on advanced artificial-intelligence research, education, innovation, and collaboration.

The position provides opportunities for:

  • Career development.
  • Interdisciplinary collaboration.
  • Technology transfer.
  • Applied research.
  • Industry engagement.
  • Government collaboration.
  • International research partnerships.

Compensation and Benefits

MBZUAI highlights:

  • Competitive salaries aligned with leading global academic institutions.
  • Comprehensive health insurance.
  • Life insurance.
  • Relocation support for international hires.
  • Strong working and research conditions.

Industry and Government Collaboration

Researchers at MBZUAI have opportunities to engage with:

  • AI researchers.
  • Technology companies.
  • Government organisations.
  • Policymakers.
  • Academic collaborators.

This environment supports research translation, technology transfer, and interdisciplinary innovation.

Recommended Professional Development

🎓 Recommended Course: Genomic Data Science Specialization

This position has a strong connection to genomics, multi-omics, bioinformatics, computational biology, data science, and precision medicine.

The Genomic Data Science Specialization from Johns Hopkins University provides structured learning in computational approaches to genomic data analysis.

It may be particularly relevant to research scientists, computational biologists, bioinformaticians, AI researchers, and scientists working with genomic or multi-omics datasets.

👉 Explore the Genomic Data Science Specialization on Coursera

Affiliate disclosure: Arab Academic Jobs may receive a commission if you enroll through this link, at no additional cost to you.

Application Requirements

Applicants should submit:

  • Curriculum Vitae (CV), including a list of publications.
  • Cover letter.
  • List of references.
  • All university transcripts.

Enquiries

Questions regarding the position may be directed to:

Prof. Przulj
Email: natasa.przulj@mbzuai.ac.ae

Job Summary

EmployerMohamed bin Zayed University of Artificial Intelligence (MBZUAI)
DivisionBiological and Life Sciences Division
LocationAbu Dhabi, UAE
PositionResearch Scientist – AI for Precision Medicine and Therapeutics
FieldAI / Computational Biology / Precision Medicine
Open Date21 September 2026
Required QualificationPhD in Computer Science, Mathematics, Physics, Bioinformatics, or related quantitative field
Core Research AreasAI, ML, Deep Learning, Genomics, Multi-omics, Network Science, Bioinformatics, Precision Medicine
Programming / ToolsPython, C, C++, TensorFlow, PyTorch, MATLAB, scripting and parallel computing
Research RequirementPublications in top-tier conferences or journals in bioinformatics, AI, or related fields
Key DatasetsHuman Phenotype Project and Emirati Genome Project
Core SkillsAlgorithms, statistics, data analysis, network science, scientific computing and computational biology
Application MaterialsCV with publications, cover letter, list of references, university transcripts
Contactnatasa.przulj@mbzuai.ac.ae
Application DeadlineNot stated