16 Drug Discovery jobs in the United Arab Emirates

A Research Scientist vacancy is available in Jabal-Ali, UAE

We are seeking an experienced research scientist to join our team. The successful candidate will perform laboratory tests and analyze chemical compounds, materials, and products.

• Conduct experiments to study the structure and properties of chemical compounds, materials, and products.
• Analyze data from laboratory experiments, interpret results, and prepare comprehensive reports.
• Develop new testing methods or modify existing methods based on scientific literature and best practices.
• Maintain a clean and organized laboratory environment, ensuring the proper functioning of equipment and instruments.
• Monitor and maintain inventory of laboratory supplies and chemicals.

• Bachelor's degree in Chemistry or a related field, such as Physics or Materials Science.
• At least 3 years of experience in a laboratory setting, preferably with a focus on research and development.
• Strong understanding of chemistry concepts, principles, and theories, including spectroscopy and chromatography.
• Ability to operate advanced laboratory equipment, such as spectrometers and chromatographs.
• Excellent written and verbal communication skills, with proficiency in English language.

The annual salary is competitive, along with benefits including health insurance and paid leave. We welcome applications from qualified candidates who meet the requirements.

This job is currently active and offers opportunities for professional growth and development.

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MBZUAI is hiring for a Research Scientist - World Modeling to join our Institute of Foundation Models department.

The Institute of Foundation Models is a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development.You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

Position Summary

The AllWorld Team sits under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.

Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.

Key Responsibilities

• Develop the foundational world model to accurately simulate the physical world.
• Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
• Develop metrics and evaluation benchmarks to better assess model performance.
• Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
• Optimize inference efficiency to enable real-time interaction.

Areas of Focus

• Scalable Training Systems : Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale.
• Efficient Data Pipelines : Build scalable video data pipelines and annotation frameworks to support high-quality training data.
• Inference Optimization : Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction.
• Visual Tokenization : Develop methods for discretizing visual features into tokens for improved model representation.
• Quantitative Evaluation : Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence.
• Scaling Laws for Video Pretraining : Investigate scaling law principles to guide efficient video pre-training strategies.

Academic Qualifications

• MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.

Professional Experience

• Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.
• Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.).
• Experiences in building and optimizing large-scale video data pipelines.
• Experience in accelerating diffusion model inference for improved efficiency.
• Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.
• Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
• Strong communication and collaboration skills for effective cross-functional teamwork.
• Ability to navigate ambiguity and drive projects in rapidly evolving research areas.
• Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries Higher Education and IT Services and IT Consulting

Referrals increase your chances of interviewing at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) by 2x

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We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

• M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
• Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
• Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
• Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
• Familiarity with software engineering best practices (version control, documentation, etc).

• 3 year PhD student and above.
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
• Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
• Hands-on experience working at the intersection of AI and Biology.
• Experience in large-scale distributed training and inference.
• Open-source contributions, especially if used by others.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

• Conduct research in areas such as training data, pre-training, and model training.
• Research and prototype innovative evaluation methods.
• Collaborate with product and infrastructure teams to build and scale tools for responsible deployment.
• Design and develop models that drive real-world impact and continuous improvement.

Qualifications

• Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or notable projects.
• Ability to lead and execute a research agenda, selecting impactful problems and managing long-term projects independently.
• Experience in developing novel techniques for measuring and mitigating ML model performance.
• Comfortable working across research and product teams in a cross-functional environment.

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

• M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
• Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
• Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
• Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
• Familiarity with software engineering best practices (version control, documentation, etc).

• 3 year PhD student and above.
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
• Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
• Hands-on experience working at the intersection of AI and Biology.
• Experience in large-scale distributed training and inference.
• Open-source contributions, especially if used by others.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking an experienced Chemist to join our team in Dubai, UAE. The successful applicant will be responsible for conducting laboratory tests, developing and testing chemical processes, creating new products and processes, researching new methods of analysis, recording results of experiments, and interpreting data.

• Main Responsibilities:
• Conducting laboratory tests to analyze substances;
• Developing and testing chemical processes;
• Creating new products and processes;
• Researching new methods of analysis;
• Recording results of experiments;
• Interpreting data;

Requirements

To be successful in this role, you must have a degree in Chemistry or a related field, knowledge of laboratory techniques and safety protocols, excellent organizational skills, attention to detail, the ability to interpret complex data accurately, and strong problem-solving skills.

• Necessary Skills and Qualifications:
• Degree in Chemistry or a related field;
• Knowledge of laboratory techniques and safety protocols;
• Excellent organizational skills;
• Attention to detail;
• Ability to interpret complex data accurately;
• Strong problem-solving skills;

Benefits

This is a full-time role with benefits including medical insurance, flight tickets for return/home leave, one month of paid annual leave, and more.

• Additional Benefits:
• Medical insurance;
• Flight tickets for return/home leave;
• One month of paid annual leave;
• More benefits;

Application Guidelines

If you believe you have the necessary skills and experience, we would love to hear from you.

Research Associate – Data Analysts

The research associate will be part of a multidisciplinary team focusing on human capital development and sustainable growth.

• Data analysts will work closely with the project lead to advance research goals.
• Support researchers with data visualization, big data analysis, and database management.
• Collaborate with stakeholders from public and private sectors.
• Develop coding solutions for research purposes.

• PhD in Economics, Engineering, or related fields.
• Experience in data analytics, project management, and stakeholder engagement.

Benefits:

• Opportunity to work on impactful projects.
• Professional growth and development opportunities.

Others:

• Training and mentorship programs available.

Get AI-powered advice on this job and more exclusive features.

MBZUAI is hiring for a Research Scientist - World Modeling to join our Institute of Foundation Models department.

The Institute of Foundation Models is a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development.You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

Position Summary

The AllWorld Team sits under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.

Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.

Key Responsibilities

• Develop the foundational world model to accurately simulate the physical world.
• Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
• Develop metrics and evaluation benchmarks to better assess model performance.
• Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
• Optimize inference efficiency to enable real-time interaction.

Areas of Focus

• Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale.
• Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data.
• Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction.
• Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation.
• Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence.
• Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies.

Academic Qualifications

• MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.

Professional Experience

• Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.
• Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.).
• Experiences in building and optimizing large-scale video data pipelines.
• Experience in accelerating diffusion model inference for improved efficiency.
• Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.
• Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
• Strong communication and collaboration skills for effective cross-functional teamwork.
• Ability to navigate ambiguity and drive projects in rapidly evolving research areas.
• Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.

• Seniority levelMid-Senior level

• Employment typeFull-time

• IndustriesHigher Education and IT Services and IT Consulting

Referrals increase your chances of interviewing at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

As an Agricultural Research Assistant, you will be responsible for assisting in the planning, implementation, and monitoring of research projects related to agriculture.

Key Responsibilities:

• Assist in planning and organizing research projects related to agriculture.
• Conduct field work and collect data on crop growth, pest/disease control, soil quality, and other related areas.
• Perform laboratory analysis on collected samples.
• Compile and analyze research data using statistical software.
• Prepare reports and presentations on research findings.
• Stay updated on current agricultural practices and trends through literature reviews and attending seminars/conferences.
• Collaborate with other team members to develop innovative solutions for agricultural challenges.
• Ensure compliance with safety protocols during field work and lab experiments.

Requirements:

• Bachelor's degree in Agronomy or a related field.
• Minimum 2 years of experience in agricultural research or a similar role.
• Proficient in data collection, analysis, and presentation using statistical software such as SPSS or SAS.
• Knowledge of current agricultural practices and trends.
• Excellent written and verbal communication skills.
• Ability to work independently as well as collaboratively with a team.
• Strong attention to detail.
• Valid driver's license.

Benefits:

This is a full-time position based in Abu Dhabi. We welcome applicants of all nationalities but proficiency in English is required. This role may also involve occasional travel within the UAE for field work. We are committed to providing equal opportunities for all employees.

If you have a passion for agriculture and want to contribute to cutting-edge research, we encourage you to apply for this position.