research analyst Jobs in United Arab Emirates

research analyst

research scientist Jobs in United Arab Emirates

research scientist

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United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Research Assistant will support the implementation of the funded UAEU start-up research project Cultural Intelligence: How AI Is Shaping the Future of Media and Cultural Production in the UAE. The role includes assisting with literature reviews; the collection and organization of policy, institutional, and media-related documents; interview preparation and scheduling; transcription and translation support; document and content analysis; qualitative coding; case study documentation; data organization; and general research coordination. The Research Assistant will also assist in preparing academic outputs, conference materials, and policy-oriented dissemination under the supervision of the Principal Investigator. The position supports a qualitative, bilingual research project focused on AI, media, and cultural production in the UAE.
 
 
 Minimum Qualification
 
 
 Master&rsquo;s degree in Media Studies, Communication, Digital Humanities, Cultural Studies, Sociology, or a related field.
 
 
 
 Preferred Qualification
 
 
 
 Experience in qualitative research, literature review, transcription, academic writing, and bilingual research work in English and Arabic is preferred.
 
 
 Expected Skills
 
 
 <ul>
 <li>
 Strong research and organizational skills. - Ability to conduct literature searches and manage references. - Experience with transcription, qualitative research, and content analysis. - Strong written and spoken English and Arabic. - Familiarity with NVivo, Zotero, Excel, and digital research tools is an advantage. - Knowledge of the UAE cultural, media, and policy landscape is preferred. - Ability to work independently, meet deadlines, and maintain confidentiality.
 
 
 </li>
 </ul>
 Special Instructions to Applicant
 
 
 Interest in AI, media, culture, and digital transformation research is required. Experience in qualitative research is desirable.
 
 
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 24/05/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Research Assistant

AD Ports Group

<div>
 
 Job Description
 
 
 
 The Research Scientist job is to manage/conduct research projects and put the effort to secure research funding. Also research scientists conduct/support other departments in consultancy studies, training and academic programs.
 
 
 
 Responsibilities
 
 
 
 
 Core Responsibilities
 
 
 
 <ul>
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 Prepare and submit research proposals along with scope, budgets, and other background information funding entities internal and external.
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 Manage/Execute research projects and consultancy studies.
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 Support Training and Academic departments in their respective courses.
 </li>
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 Prepare and submit consultancy studies proposals in lieu with other Abu Dhabi Ports entities.
 </li>
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 Support in maintaining research assets along with asset specialists.
 </li>
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 Prepare research/consultancy plan needs in terms of equipment, consumables, and temporary hiring.
 </li>
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 Provide training as needed to graduate students.
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 Support the Director as required
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 Maintain records of progress and co-ordinate reporting to interested parties
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 Contribute to internal and external workshops/research updates/ conferences as needed.
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 Develop and maintain and co-ordinate effective industrial links
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 Organize and participate in relevant industrial visits if required
 
 
 </li>
 </ul>
 
 People Management Responsibilities
 
 
 
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 Manage students and research support staff in executing research projects.
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 Manage partner entities in executing research projects.
 
 
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 </ul>
 
 Strategic Responsibilities
 
 
 
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 Contribute to the development of a strategic plan to the Academy
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 Support driving academic innovation, including the integration of new technologies and pedagogical approaches.
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 Builds relationships with external stakeholders (alumni, donors, industry partners, accrediting bodies) to advance the institution&rsquo;s academic reputation and resources.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Educational and Technical Qualifications:
 
 
 <ul>
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 A master's degree (MSc or equivalent) in a relevant discipline
 
 
 </li>
 </ul>
 Language Skills:
 
 
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 Excellent English &amp; Preferable Arabic
 
 
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 </ul>
 Years of Experience:
 
 
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 Minimum 8 years of relevant experience
 
 
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 </ul>
 Nature of Experience:
 
 
 <ul>
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 Relevant to underlining functions.
 </li>
 </ul>
</div>

Research Scientist

Moonrock Media LLC

Role OverviewWe are looking for a Research Analyst with a strong understanding of macroeconomics, financialmarkets, and cryptocurrency. This role involves producing insightful research, creating engagingcontent for social platforms, and contributing to data-driven analysis that supports content andcommunity engagement.Key ResponsibilitiesResearch &amp; Analysis<ul><li>Conduct research on macroeconomic trends, financial markets, and the cryptocurrency space</li><li>Produce clear, concise research reports and market analysis</li><li>Monitor market movements and identify key insights relevant to the audience</li></ul>Content Creation<ul><li>Create and publish research-based posts for Discord (research feed)</li><li>Develop engaging and informative social media content based on market insights</li><li>Translate complex financial and crypto concepts into accessible written content</li></ul>Reporting &amp; Insights<ul><li>Prepare structured reports with actionable insights and summaries</li><li>Support content and editorial teams with research-backed information</li><li>Ensure accuracy and relevance of all published materials</li></ul>Job Type: Full-timePay: AED4,000.00 - AED5,000.00 per monthWork Location: Remote

Research Analyst

Tandem Interim

<div>
 
 🔥
 
 SME &ndash; Research Analyst (Emerging Technologies)
 
 
 
 Contract
 
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 Advisory-based engagement (part-time / on-demand)
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 Duration aligned with project lifecycle (subject to bid outcome)
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 </ul>
 
 Key Responsibilities
 
 <ul>
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 Develop and review structured research reports on emerging technologies
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 Conduct technology assessments, benchmarking, and market analysis
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 Translate complex technical topics into clear, actionable insights
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 Support creation of whitepapers, reports, and client deliverables
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 Collaborate with SMEs and delivery teams to synthesise insights
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 Contribute to research across AI, cloud, blockchain, and related domains
 </li>
 </ul>
 
 Requirements
 
 <ul>
 <li>
 4&ndash;8 years of experience in research, consulting, or technology analysis
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 Experience producing reports (market research, tech assessments, insights)
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 Background in research firms, consulting, or think tanks
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 Strong analytical and structured thinking capabilities
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 Familiarity with emerging technologies and digital transformation
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 </ul>
 
 Profile
 
 <ul>
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 Research-driven profile with strong analytical and writing capabilities
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 Able to simplify complex technical topics for non-technical audiences
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 Comfortable working across multiple domains and stakeholders
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 </ul>
 
 
</div>

GenBio AI

<div>
 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&amp;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.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 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
 </li>
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 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
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 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
 
 
 
 
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 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 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
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 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
 </li>
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 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
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 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
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 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
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 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
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 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
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 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
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 Hands-on experience working at the intersection of AI and Biology
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 Experience in large-scale distributed training and inference
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 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 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. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

New York University Abu Dhabi

<div>
 The Water Research Center, New York University Abu Dhabi, is seeking to hire an Associate Research Scientist to develop calix[n]arene-based covalent organic frameworks for water purification.
 
 
 The successful candidate will develop new calix[n]arene-based covalent organic frameworks for water purification applications. To explore this area of macrocycle-based porous frameworks for water contaminant removal, the candidate will be involved in the directed synthesis of organic macrocycle containing linkers and porous frameworks and then investigate the supramolecular interactions with various organic pollutants. This would require knowledge in the design and synthesis of porous frameworks, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding of the analytical techniques used to characterize the materials. Experience in the application of such materials to water treatment is preferred. The candidate will work in a multidisciplinary environment consisting of PhD scientists, graduate students, and undergraduate students.
 
 
 Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant to the project (particularly, synthesis of covalent organic frameworks) are required.
 
 
 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, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Huden Khalil: hsk8152@nyu.edu.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Associate Research Scientist in the Water Research Center – Dr. Ali Trabolsi

<div>
 NYU Abu Dhabi invites applications for a
 
 Kawader Research Assistant Fellow position
 
 to support the project
 
 Evolutionary Genomics of Adaptation.
 
 
 
 The goal of the project is to determine the genomics basis of adaptation to extreme environments, with a focus on vertebrate species adapted to desertic habitats. Using the tools and concepts of evolutionary and population genomics, the successful applicant will identify genes responsible for such adaptations and will conduct detailed molecular evolutionary analyses of candidate genes to identify the precise genetic changes that allow organisms to survive in deserts.
 
 
 This position offers hands-on training in evolutionary biology, molecular techniques, and computational genomic analysis within an active research environment at NYU Abu Dhabi.
 
 
 
 What The Program Offers
 
 
 
 <ul>
 <li>
 Full-time paid research position for up to 3 years.
 </li>
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 Mentorship by internationally recognized NYUAD faculty members.
 </li>
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 Professional development and academic training opportunities.
 </li>
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 Exposure to interdisciplinary and collaborative research projects.
 </li>
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 Support for graduate school applications.
 </li>
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 Research and laboratory experience within a leading evolutionary genomics group.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct evolutionary and population genomic analyses to identify candidate genes involved in adaptation to desert environments.
 </li>
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 Perform molecular biology procedures such as DNA extraction, electrophoresis, PCR, and preparation of genomic samples.
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 Contribute to data processing, computational workflows, and comparative genomic analysis.
 </li>
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 Collaborate with team members to advance the project&rsquo;s goals.
 
 
 </li>
 </ul>
 
 Supervision
 
 
 
 This position is supervised by Prof. St&eacute;phane Boissinot, Professor of Biology.
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Biology.
 
 
 </li>
 </ul>
 
 Highly Desired
 
 
 
 <ul>
 <li>
 Advanced knowledge of evolutionary biology.
 </li>
 <li>
 Experience in genomic analysis.
 </li>
 <li>
 Experience with basic molecular biology techniques (e.g., DNA extraction, electrophoresis, PCR).
 
 
 </li>
 </ul>
 
 Please Submit The Following Materials
 
 
 
 <ul>
 <li>
 CV
 </li>
 <li>
 Statement of interest (1 page outlining motivation and research interests)
 </li>
 <li>
 Transcript(s) of degree(s)
 </li>
 <li>
 Two letters of recommendation / Contact information of academic referees
 
 
 </li>
 </ul>
 For questions regarding the position, please contact nyuad.kawader@nyu.edu.
 
 
 
 Additional Program Information
 
 
 
 UAE nationals are encouraged to apply
 
 
 This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
 
 
 For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Path 1 Kawader: Research Assistant – Evolutionary Genomics of Adaptation

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Associate Research Scientist in the Water Research Center – Dr. Ali Trabolsi

Path 1 Kawader: Research Assistant – Evolutionary Genomics of Adaptation