22 Genomics jobs in the United Arab Emirates

Job Overview:

As a Sales Specialist for Clinical Diagnostics specializing in Genomics Testing at Menalabs in the UAE, you will be a key player in driving sales and promoting Menalabs' advanced genomics testing solutions. Your role involves building strong relationships with healthcare professionals, laboratories, and research institutions to understand their genomics testing needs and offering tailored solutions.

Key Responsibilities:

• Sales Strategy and Planning:
  • Develop and execute a strategic sales plan for genomics testing products and services in alignment with Menalabs' business goals.
• Market Analysis:
  • Conduct thorough market research to identify trends, competitive landscape, and potential growth opportunities in the genomics testing sector.
  • Stay informed about advancements in genomics and related technologies.
• Customer Relationship Management:
  • Build and maintain strong relationships with key decision-makers and influencers in healthcare institutions, research facilities, and laboratories.
  • Understand customer requirements and provide customized genomics testing solutions.
• Product Knowledge:
  • Demonstrate expert knowledge of Menalabs' genomics testing products and services.
  • Provide technical information and support to customers during the sales process.
• Sales Presentations:
  • Conduct compelling and informative product presentations to healthcare professionals and stakeholders.
  • Highlight the unique features and benefits of Menalabs' genomics testing solutions.
• Quotations and Proposals:
  • Prepare accurate and persuasive quotations and proposals.
  • Collaborate with the sales support team to ensure seamless order processing.
• Achieving Sales Targets:
  • Meet and exceed sales targets and objectives for genomics testing products.
  • Monitor and report on sales performance regularly.
• Training and Education:
  • Provide training and educational sessions to customers on the applications and advantages of Menalabs' genomics testing solutions.
  • Stay updated on industry best practices and emerging trends.
• Collaboration:
  • Work closely with internal teams, including marketing, customer support, and product development, to enhance the overall customer experience.

Qualifications:

• Education:
  • Bachelor's degree in a relevant field (e.g., Molecular Biology, Genetics, Biotechnology, Business).
• Experience:
  • Proven experience in sales within the genomics testing, life sciences, or biotechnology industry.
  • Familiarity with genomics testing products and services is highly desirable.
• Skills:
  • Strong sales and negotiation skills.
  • Excellent communication and presentation abilities.
  • Ability to build and maintain relationships with key stakeholders.
• Results-Driven:
  • Track record of achieving and exceeding sales targets.
  • Ability to work independently and collaboratively within a team.
• Adaptability:
  • Ability to adapt to evolving market conditions and technological advancements in genomics.
• Language Proficiency:
  • Proficiency in English; knowledge of additional languages, especially Arabic, is advantageous.

This job description serves as a foundation for the Sales Specialist role in Clinical Diagnostics with a focus on Genomics Testing at Menalabs in the UAE. It's crucial to tailor the details based on Menalabs' specific requirements and expectations.

Join to apply for the Research Assistant Professor – Functional Genomics and Bioinformatics role at United Arab Emirates University, Department of Family Medicine

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Join to apply for the Research Assistant Professor – Functional Genomics and Bioinformatics role at United Arab Emirates University, Department of Family Medicine

Job Description
KCGEB invites applications for a Research-Track Assistant Professor position specializing in Functional Genomics with strong expertise in Bioinformatics. The successful candidate will lead and support cutting-edge research in genome function, gene regulation, and systems biology, with an emphasis on integrating multi-omics data to understand trait architecture and environmental responses in plants, animals, or microbes of agricultural or ecological relevance. This position is part of the Center’s strategic vision to harness advanced genomic tools and bioinformatics to address challenges in food security, desert agriculture, and synthetic biology.

• Ph.D. in Genomics, Bioinformatics, Systems Biology, Computational Biology, or a related field.
• A strong publication record in functional genomics and/or bioinformatics.
• Proven experience in computational genomics, genome-wide data analysis, and coding (e.g., Python, R, or similar languages).
• Familiarity with plant, animal, or microbial genomic systems is an advantage.
• Experience with high-throughput sequencing data and genome assembly tools is highly desirable.
• Experience in managing data workflows and bioinformatics infrastructure is a plus.
  

• Ph.D. in Genomics, Bioinformatics, Systems Biology, Computational Biology, or a related field.
• A strong publication record in functional genomics and/or bioinformatics.
• Proven experience in computational genomics, genome-wide data analysis, and coding (e.g., Python, R, or similar languages).
• Familiarity with plant, animal, or microbial genomic systems is an advantage.
• Experience with high-throughput sequencing data and genome assembly tools is highly desirable.
• Experience in managing data workflows and bioinformatics infrastructure is a plus.
  

• Demonstrated ability to work in interdisciplinary teams.
• Interest in translational applications (e.g., synthetic biology, precision agriculture, stress adaptation).
• Ability to contribute to capacity building and training within the Center.
  

• Lead independent and collaborative research projects in functional genomics, focusing on gene function, regulatory networks, epigenomics, or transcriptomics.
• Apply computational and statistical approaches to analyze large-scale genomics data (e.g., RNA-seq, ATAC-seq, ChIP-seq, WGS, HiFi, or long-read data).
• Develop and maintain pipelines for genome annotation, variant calling, and integrative multi-omics analysis.
• Supervise research staff, postdocs, and graduate students involved in genomics and computational biology.
• Publish in high-impact peer-reviewed journals and contribute to the global scientific community.
• Contribute to proposal writing to secure external funding.
• Support the Center’s translational research goals, including trait discovery and biotechnology applications.
  

• A cover letter aligned with KCGEB priorities
• CV with a complete list of publications
• Contact for three references
  

• Seniority levelEntry level

• Employment typeFull-time

• Job functionEducation and Training
• IndustriesHigher Education

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Join to apply for the Postdoctoral Fellow in Plant Molecular Biology role at United Arab Emirates University, Department of Family Medicine.

Job Description

Khalifa Center for Genetic Engineering and Biotechnology (KCGEB) is seeking a full-time postdoctoral researcher in plant molecular biology. The successful candidate will be offered a one-year position, with the possibility of extension based on funding availability and performance. The primary responsibilities include developing transgenic crops, conducting molecular analysis of transgenic plants, and performing transcriptome analysis.

Minimum Qualifications

• Strong background in plant molecular biology, especially in state-of-the-art technologies
• Hands-on experience in genetic modification of various species
• Experience in bioinformatics analysis, including transcriptome analysis
• Ability to work independently and as part of a team
• Excellent critical thinking, communication skills in English, both written and verbal

Preferred Qualifications

• PhD in Plant Molecular Biology, Genomics, Biosciences, Biotechnology, or a related field
• At least 3 years of postdoctoral experience
• Minimum of 3 first-authored and/or corresponding-authored papers in peer-reviewed journals within the last 5 years

Expected Skills

• Proficiency in state-of-the-art molecular biology techniques
• Experience with plant transformation and CRISPR technology
• Experience with transcriptome analysis

Close date: Kindly apply before the closing date. Open until filled.

Apply now to join our team.

Open Call for Artists!

The Center for Genomics and Systems Biology (CGSB) at New York University Abu Dhabi (NYUAD) is announcing the third round of the Artist-in-Residence Program and is welcoming applications from artists to fill a one-year position starting September 1, 2025.

The NYUAD CGSB was established in 2012 to develop a world-class research environment at NYUAD and in the UAE. The CGSB includes a diverse array of research programs focused on two main areas: Biomedicine and Health, and Environmental Adaptation and Sustainability. The CGSB encourages and promotes scientific and cultural interactions by hosting events such as lectures, workshops, and Science Cafés, facilitating the exchange of ideas and knowledge between program participants and the community. The Artist-in-Residence program extends this effort by bringing together scientists and artists to collaborate, communicate, interact, and learn, fostering creative thinking that drives innovation. The selected artist is expected to collaborate with scientists on one or several of the CGSB-related research programs.

To be considered, please submit the following documents before November 15, 2024:

• A curriculum vitae
• An artist statement, including a brief description of previous projects (500 words)
• A portfolio in PDF format with images or web links reflecting recent work

If you have any questions, please send your inquiries to (contact email or instructions).

To learn more about the Center for Genomics and Systems Biology, visit the NYUAD CGSB website.

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and sciences 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 campuses and academic centers across six continents that enable seamless international mobility for students and faculty. This global university represents a transformative shift in higher education, where the intellectual and creative endeavors 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

Open Call for Artists

The Center for Genomics and Systems Biology (CGSB) at New York University Abu Dhabi (NYUAD) is announcing the third round of the Artist-in-Residence Program and is welcoming applications from artists to fill a one-year position starting September 1, 2025.

The NYUAD CGSB was established in 2012 to develop a world-class research environment at NYUAD and in the UAE. The CGSB includes a diverse array of research programs focused on two main areas: Biomedicine and Health, and Environmental Adaptation and Sustainability. The CGSB encourages and promotes scientific and cultural interactions by hosting events such as lectures, workshops, and Science Cafés, facilitating the exchange of ideas and knowledge between program participants and the community. The Artist-in-Residence program extends this effort by bringing together scientists and artists to collaborate, communicate, interact, and learn, fostering creative thinking that drives innovation. The selected artist is expected to collaborate with scientists on one or several of the CGSB-related research programs.

To be considered, please submit the following documents before November 15, 2024:

1. A curriculum vitae
2. An artist statement, including a brief description of previous projects (500 words)
3. A portfolio in PDF format with images or web links reflecting recent work

If you have any questions, please send your inquiries to (contact email or instructions).

To learn more about the Center for Genomics and Systems Biology, visit the NYUAD CGSB website.

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and sciences 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 campuses and academic centers across six continents that enable seamless international mobility for students and faculty. This global university represents a transformative shift in higher education, where the intellectual and creative endeavors 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

Organisation/Company: KHALIFA UNIVERSITY

Research Field: Engineering

Researcher Profile: Recognised Researcher (R2), First Stage Researcher (R1)

Country: United Arab Emirates

Application Deadline: 28 Feb 2026 - 00:00 (UTC)

Type of Contract: Permanent

Job Status: Full-time

Funding: Not funded by a EU programme

Research Infrastructure: No

Position: Research Scientist

Khalifa University, ranked 181st in the QS World University Rankings 2023 and the top university in the UAE, offers diverse research and academic programs addressing strategic, scientific, and industrial challenges.

The university's faculty and research facilities support a broad range of disciplines in engineering, science, and medicine across three colleges.

Research focuses on sectors vital to the UAE’s economic growth, including Clean and Renewable Energy, Hydrocarbon Exploration, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Key research platforms include Robotics, AI and Data Science, ICT, and Advanced Materials and Manufacturing.

Position Overview

KU seeks a highly motivated Research Scientist or Post-doctoral Fellow for a KU-funded project to develop a new energy storage device with high energy density and fast charging capabilities. The project involves investigating structures, 2D nanomaterials, and designs, developing physical models, and establishing operation mechanisms. The research will include testing for reliable electronic applications.

The researcher will have access to advanced equipment at KU and the System on Chip Centre ( collaborating with researchers and graduate students from various backgrounds.

For assistance or issues with the application, contact the Recruitment Team at

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

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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.