13 Microbiology jobs in the United Arab Emirates

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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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The College of Medicine is seeking a qualified and motivated Assistant Professor in Microbiology and Immunology to join its academic faculty.

Key Responsibilities:

• Teach microbiology and immunology to undergraduate medical students through lectures, lab sessions, tutorials, and small group discussions.
• Contribute to curriculum design and integration of microbiology and immunology content into organ/system-based modules.
• Participate in problem-based learning (PBL), team-based learning (TBL), and case-based sessions.
• Develop and grade assessments, practical exams, and provide academic feedback to students.
• Utilize innovative tools and modern educational technologies, including digital platforms and AI-assisted teaching strategies.
• Initiate and conduct research in microbiology, immunology, or related biomedical sciences.
• Publish research findings in peer-reviewed journals and participate in academic conferences.
• Collaborate on interdisciplinary research projects and contribute to the university’s research goals.
• Guide undergraduate research and mentor them.
• Participate in departmental meetings, course planning, and academic reviews.
• Assist in laboratory setup, equipment procurement, and biosafety procedures.
• Contribute to institutional accreditation, quality assurance, and student evaluation processes.
• Serve on academic committees and support university-wide initiatives.

Qualifications:

• PhD in Microbiology and Immunology from a recognized institution.
• MBBS/MD with a specialization in Microbiology (or Clinical Microbiology) is preferred for clinical teaching programs.
• Minimum 3 years of teaching and research experience at a recognized academic institution (preferably in a medical college setting).
• Proven academic record including publications and teaching evaluations.
• Proficiency in English (spoken and written); Arabic is an asset.

Desired Skills and Competencies:

• In-depth knowledge of medical microbiology, immunopathology, antimicrobial resistance, and immunodiagnostics.
• Experience in laboratory teaching and familiarity with biosafety protocols.
• Ability to integrate teaching with recent advances and AI tools in microbiology and immunology education.
• Strong presentation, organizational, and interpersonal skills.
• Commitment to academic excellence, student mentorship, and professional development.

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.

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.

The Opportunity : The Opportunity

The Life Science Technical Sales Product Specialist will play a critical role in driving sales promoting product portfolio knowledge and strengthening relationships with new and existing Channel Distributors across the MEA region. The role requires a strong understanding of life science and microbiology equipment and instruments, Consumables, Kits & reagents as well as the ability to effectively communicate product benefits technical features and their application in various laboratory settings.

How you’ll thrive and create an impact :

Sales Target Achievement & Reporting

Monitor and drive sales performance against set targets ensuring consistent growth in the region.

Report regularly on sales activities, revenue generation and distributor performance to Business Development Manager.

Analyze sales data and market trends to identify areas for improvement and create actionable plans for growth.

Sales Strategy & Execution

Develop and implement a comprehensive sales strategy for Life Science & Microbiology equipment and instruments, Consumables, Kits & Reagents tailored to the needs of the MEA region.

Collaborate with the marketing team to execute promotional campaigns product launches, and awareness-building activities.

Support Channel Distributors & Direct Accounts in setting sales targets tracking progress and ensuring alignment with overall regional business goals.

Provide feedback on market trends competitor activity and customer needs to enhance product offerings and sales approaches.

Channel Distributor Development & Support

Identify and propose new Channel Distributors within the MEA region to expand market reach.

Provide ongoing support and training to existing Channel Distributors ensuring they are equipped with the latest product knowledge and sales strategies.

Foster strong relationships with key Channel Distributors providing guidance and assistance in resolving any challenges they may face.

Conduct regular meetings and reviews with Channel Distributors to monitor progress discuss performance and identify new opportunities for business growth.

Product Knowledge & Training

Point of contact for life science and microbiology E&I Consumables, Kits & reagents products offering training sessions, webinars and one-on-one support to Channel Distributors and their sales teams.

Create and maintain educational materials and sales tools including product guides, presentations and application notes, to facilitate effective product promotion and sales.

Stay up-to-date with industry advancements, product innovations and regulatory changes to ensure accurate information is shared with Channel Distributors.

Customer Engagement & Satisfaction

Cultivate relationships with end customers in the region ensuring their needs are addressed through product recommendations and Channel Distributor engagements.

Assist Channel Distributors with technical product inquiries, troubleshooting and after-sales support to enhance customer satisfaction and retention.

Ensure timely response to customer feedback and complaints resolving issues efficiently while maintaining strong business relationships.

Regional Market Development

Conduct market research to identify emerging trends opportunities, and potential threats within the MEA region.

Contribute to the development of regional business plans aligning product offerings with local market needs and regulatory requirements.

Participate in key industry conferences, trade shows and seminars to increase brand visibility and network with potential customers and partners.

Collaboration with Internal Teams

Work closely with cross-functional teams, including marketing, technical support and logistics to ensure smooth product delivery and timely order fulfillment.

Collaborate with the regional sales team and management to align sales objectives, share best practices and enhance performance across the region.

Continuous Improvement

Provide feedback on product features & pricing based on distributor and customer input to help improve product offerings and customer satisfaction.

Suggest process improvements for better sales operations distributor engagement and customer service delivery

Disclaimer :

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.

Why Avantor?

Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.

The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.

We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today!

EEO Statement :

We are an Equal Employment / Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state / province, or local law.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Privacy Policy :

We will use the personal information that you have submitted to us in order to consider your application for the relevant role.

Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests.

3rd Party Non-Solicitation Policy :

By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation.

NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering.

The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students.

The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team.

Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years? experience as a Postdoctoral Research Associate . Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred.

This position will begin in March 2026 as a two-year contract, renewable depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at for instructions and information on how to apply. If you have any questions, please email: .

About NYUAD:
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

For people in the EU, click here for information on your privacy rights under GDPR:

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more atnyu.edu/sustainability

Description

The Center for Translational Medical Devices (CENTMED) at New York University Abu Dhabi is seeking a Research Scientist to work on Surface Chemistry of Implants and Fabrication of Polymer Medical Devices.

The successful candidate will collaborate with faculty and researchers to enhance implant surface chemistry, improving biocompatibility and osteointegration. Responsibilities include surface modification of implants via plasma treatment, silanization, and specialty coatings for corrosion resistance, as well as developing polymeric lubricious coatings for catheters to reduce vascular injury during trans-catheterization.

The role involves characterizing surface modifications using microscopy techniques such as SEM and AFM, mapping nanomechanical properties like adhesion, friction, Young's modulus, and surface free energy, and developing polymeric medical devices based on clinical needs. Experience in polymer processing techniques, including extrusion, molding, and additive manufacturing, is required. The candidate will prepare ISO/ASTM test specimens, estimate glass transition temperatures via DMA, and develop osteoconductive implants for skull base surgery.

Additional duties include quantifying biomolecule adsorption on coatings with Quartz Crystal Microbalance, developing sustainable orthotic devices, co-developing industry-partnered medical devices, and assisting in intellectual property filings. The candidate will also collaborate on preparing technology documentation for industry translation.

Applicants must hold a PhD in Chemistry, Physics, or Materials Science.

Preferred expertise includes:

• Surface analysis of materials
• Atomic Force Microscopy
• Materials characterization
• Analytical skills

Application materials include a cover letter, CV with publications, research statement, and three references, all in PDF. For questions, contact Professor Pan e Naumov at

The position offers competitive terms, including housing and educational subsidies for children. Applications are accepted immediately until filled. Required submissions include a cover letter, CV, degree transcripts, a one-page research summary, and at least two recommendation letters in PDF.

Visit NYUAD Careers for application instructions.

About NYUAD:

NYU Abu Dhabi is a research university with a comprehensive undergraduate program across Arts, Sciences, Social Sciences, Humanities, and Engineering. Part of NYU’s global network, NYUAD fosters international mobility and collaborative research, serving as a hub for scholarly activity in the Arab world and beyond.

EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer. UAE Nationals are encouraged to apply.