Postdoctoral Researcher in AI for Precision Medicine and Therapeutics
Join a cutting-edge AI research team to develop advanced algorithms for precision medicine and therapeutic discovery using multi-omics and medical data.
Best for:Best for postdoctoral researchers with a strong background in AI, bioinformatics, and computational biology, seeking to contribute to cutting-edge precision medicine research.
Overview
This postdoctoral position at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) focuses on advancing AI-driven precision medicine and therapeutics. The successful candidate will work on developing AI and network data science algorithms to analyze molecular multi-omics and medical data, aiming to improve precision medicine tasks and discover novel therapeutics. The role involves collaboration with an interdisciplinary team and access to flagship projects like the Human Phenotype Project and Emirati Genome Project. The position offers a competitive salary, comprehensive benefits, and opportunities for career growth in a dynamic research environment.
What you'll do
- Develop AI and network data science algorithms for mining molecular multi-omics and medical data to enhance precision medicine tasks.
- Collaborate with an interdisciplinary research team to advance state-of-the-art methodologies in AI-driven therapeutic discovery.
- Work on flagship projects such as the Human Phenotype Project and Emirati Genome Project to analyze large-scale genomic and medical datasets.
- Conduct research to improve predictive models for precision therapeutics and medical diagnostics.
- Engage in knowledge transfer and collaboration with industry and government partners to translate research into practical applications.
- Publish research findings in top-tier conferences and journals within the fields of AI, bioinformatics, and precision medicine.
Requirements
Degree required: PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative field
Language: English; proficiency required for communication and collaboration
Instruction: English
Publications: Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields
- Expertise in data science, bioinformatics, network science, AI, machine learning, deep learning, LLMs, genomics, or related areas
- Proficiency in programming languages such as Python, TensorFlow, or PyTorch
- Strong background in algorithms, data analysis, graph/network theory, and complexity theory
- Experience with scientific computing, statistics, and parallel computing environments
- Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields
- Excellent problem-solving and analytical skills
- Strong written and verbal communication skills in English
- Open to international applicants
- No specific residency or age restrictions mentioned
Funding & terms
How to apply
Deadline: 2026-11-05
Applicants must submit a CV including a list of publications, a cover letter, a list of references, and all university transcripts via the provided application portal. For questions, contact Prof. Natasa Przulj directly via email.
- CV including a list of publications
- Cover letter
- List of references
- All university transcripts
Contact
Natasa Przulj· Supervisor
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