204 Researcher jobs in the United Arab Emirates

• Conduct rigorous quantitative research across all stages: idea generation, data analysis, hypothesis testing, and implementation
• Collaborate with researchers to develop and refine predictive models and portfolio construction methods
• Analyze and digest the latest academic research to inform strategy development
• Build analytical tools that enhance the shared research framework

• A PhD or a minimum of 2 years professional experience in a quantitative discipline such as econometrics, mathematics, statistics, physics, or computer science
• Proficiency in Python (or comparable programming language) and working knowledge of SQL
• Strong data science skills, including feature engineering; experience with machine learning is a plus
• A highly motivated, curious, and critical mindset with a willingness to take full ownership of your projects
• Ability to work effectively both independently and as part of a collaborative team
• No prior financial industry experience required
• Commitment to maintaining the highest ethical standards

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.

• Conduct original research in quantitative portfolio management.
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis testing, and implementation.
• Follow, digest and analyze the latest academic research.
• Build analytical tools to supplement our shared research framework.

• 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, computer science.
• Programming in Python (or comparable language) and working knowledge of SQL.
• Fluency in data science practices, e.g. feature engineering. Experience with machine learning is a plus.
• Highly motivated, curious, and critical thinker.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Prior experience in the financial services industry is not required.
• Commitment to the highest ethical standards.

Job Description

TheSchool of Textiles and Design on the Dubai campus is seeking to recruit enthusiastic academics with experience in teaching and scholarship, or research.Successful candidates will be expected to build research over time and showcase innovative teaching pedagogies.

Key Responsibilities:

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• Undertake teaching and assessment duties on academic programmes. Support colleagues inThe School of Textiles and Designand other Schools at Heriot-Watt University in the delivery of courses and other activities to support the delivery of HWU's aims.
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• Develop relevant materials in appropriate formats for the future of design as a discipline. Contribute to the content, design and delivery of the curriculum, and the quality of teaching and learning, in consultation with colleagues and within the international structures and mechanisms established by the University. Review teaching design and delivery by obtaining and analysing feedback from students and peers. Support the accreditation processes of professional bodies.
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• Mentor and supervise students, including PhD students (as appropriate), providing effective, well documented, and timely feedback, both formative and summative. Provide pastoral support, recognising when to refer a student for further support. Play a key role in the delivery and support of an excellent student learning and living experience at HWU.
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• Develop the level of subject expertise in line with latest development in business enterprise, scholarship, research and or innovation, and ensure these developments are reflected in teaching materials and methods.
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• Build and conduct scholarship or research in one or more of the Design and or Dubai Campus areas at internationally competitive levels.
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• Develop and maintain strong links with creative design industries, external organisations, and the education sector.
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• Work collaboratively with colleagues in the UK, at other campuses, and with external networks both for the exchange of information, to share learning, and to form relationships for future collaboration. Conduct and engage in peer review of teaching and research - locally, nationally, and internationally.
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• Undertake a proactive role in promoting and marketing design at the University, ensuring the effective recruitment of students and the achievement of recruitment targets. Play a full role in Open Days and other student recruitment events. Play a full role in research impact, community events, and public engagement.
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Requirements

Essential

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• PhD, Master's Degree or equivalent in an appropriate discipline.
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• Teaching experience
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• Experience of reviewing and updating teaching materials
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• Clear communicator with good presentation skills, explaining concepts well.
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• Well developed knowledge and understanding of contemporary AI practices across creative or design businesses and practices.
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• Research Experience
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• Fluent (verbal and written) in English
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• An ability to apply knowledge acquired from research or professional practices into teaching materials and methods.
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• Willingness and potential to identify and develop independent /collaborative portfolio of research and scholarship
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Desirable

Member of appropriate professional body

Teaching qualification or in the process of obtaining one or be committed to achieving this within two years of appointment.

Teaching experience at undergraduate and postgraduate level

Experience for maintaining and developing new links with industry.

Strong understanding of industry needs, and the skills required by graduates for employability.

Evidence of inter-disciplinary practice,

Flexible in approach with excellent communication, digital literacy, and report writing skills, and be willing to adapt to the duties associated with the role.

Mentoring and personal tutor experience and PhD supervision

Sole authored and or co-authored conference papers or journal articles

Funded research experience – independent and or team based.

International or national Peer Reviewing of research.

• Conduct extensive market research to identify new trading opportunities;
• Design and PoC implementation of effective trading strategies based on your market research findings;
• Perform research and TCA of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
• Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.

• 2+ years in Quantitative Research/Trading, with specialization in spreads/option strategies;
• Experience with market-making trading strategies;
• Strong knowledge of statistical analysis, data mining, and predictive modeling;
• Understanding of market microstructure;
• Experience with using L2 / L3 market data for research;
• Exceptional quantitative and mathematical skills, adept problem-solving;
• Proficient in any research-oriented programming language (Python preferred), ability to write efficient code;
• Strong collaborative spirit, work ethics, and a determined drive for success; ability to work both independently and as part of a team;
• Strong communication skills, with the ability to clearly explain complex ideas.

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• Conduct rigorous quantitative research across all stages: idea generation, data analysis, hypothesis testing, and implementation
• Collaborate with researchers to develop and refine predictive models and portfolio construction methods
• Analyze and digest the latest academic research to inform strategy development
• Build analytical tools that enhance the shared research framework

• A PhD or a minimum of 2 years professional experience in a quantitative discipline such as econometrics, mathematics, statistics, physics, or computer science
• Proficiency in Python (or comparable programming language) and working knowledge of SQL
• Strong data science skills, including feature engineering; experience with machine learning is a plus
• A highly motivated, curious, and critical mindset with a willingness to take full ownership of your projects
• Ability to work effectively both independently and as part of a collaborative team
• No prior financial industry experience required
• Commitment to maintaining the highest ethical standards

Transforming Biology and Medicine with Generative AI

We are a cutting-edge start-up dedicated to revolutionizing the landscape of biology and medicine through the power of generative AI. Our team comprises visionary scientists, engineers, and entrepreneurs who are passionate about pushing the boundaries of what is possible.

Our mission is to create innovative solutions that democratize access to biology and empower both expert researchers and newcomers. We are looking for a talented AI Researcher to join our team and contribute to this exciting journey.

• Design, develop, and productionize generative models and workflows for biological simulation and experiment orchestration.
• Collaborate with cross-functional teams to identify problems, implement solutions, and measure their impact on our projects.
• Develop APIs and pipelines for model serving, distillation, and tool integration with our foundation models.
• Implement and evaluate LLM-based agents to collaborate with users and other agents to plan virtual experiments, run studies, and synthesize knowledge.
• Support on-demand finetuning and model adaptation of foundation models with specialized datasets.
• Prototype end-to-end research workflows and the tools to support them.
• Contribute to system robustness by improving uncertainty quantification, observability, and traceability in generative workflows.
• Maintain close attention to efficiency and scalability of models to ensure simulations are cheap, fast, and reproducible.

• Ph.D. or equivalent practical experience in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
• 2+ years of experience developing, deploying, and evaluating LLMs or generative models (transformers, diffusion models, VAEs, autoregressive architectures, etc.).
• Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
• Strong programming skills in Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
• Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes) and associated automation frameworks (e.g. Kubeflow, Argo Workflows, Apache Airflow, Metaflow).
• Ability to work in a fast-moving research environment, balancing rigor with rapid prototyping.
• Proficiency in back-end frameworks like Django, Flask, or , and database technologies (e.g., PostgreSQL, MongoDB).
• Expertise in cloud computing (GCP, AWS).
• Familiarity with version control systems like Git and CI/CD pipelines.

• Opportunity to work on cutting-edge projects that have the potential to transform biology and medicine.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.
• Competitive salary and benefits package.

• A supportive and inclusive work environment.
• Opportunities for professional growth and development.
• A competitive salary and benefits package.
• Access to the latest tools and technologies.

At the forefront of scientific innovation, we seek a highly skilled and accomplished Research Scientist to contribute to our team's success in Khor Fakkan. As a vital member of our laboratory team, you will be responsible for designing, conducting, and analyzing experiments to drive breakthroughs in chemical research.

Duties and Responsibilities:

• Design and execute complex chemical experiments using established protocols and procedures.
• Analyze data from experiments, interpret results, and prepare detailed reports for management review.
• Evaluate processes and suggest improvements to optimize performance and efficiency.
• Develop new methods of testing and analysis as needed, utilizing expertise in chemical principles and theories.
• Maintain accurate records of all activities in the laboratory, adhering to safety guidelines at all times.

Qualifications and Skills:

• Bachelor's degree in Chemistry or related field required.
• Exceptional knowledge of chemical principles, theories, and practices necessary.
• Proven ability to operate laboratory equipment such as gas chromatographs and spectrophotometers required.
• Experience with statistical analysis tools like Minitab preferred but not essential.
• Excellent analytical skills with strong attention to detail required.

An ideal candidate lives and breathes math and statistics, enjoys digging into data, loves solving hard, ambiguous challenges, and ideally has a track record of adding significant, tangible value to trading businesses.

Your mission will be to help shape Keyrock's trading strategies.

Tasks

• Market-making and optimal quoting of HL assets (CeFi and DeFi);
• Researching and building proprietary trading algorithms for high- and mid-frequency strategies on spot, perpetual, and futures / forwards markets;

Trading and hedging both cryptocurrencies and FX.

Background and Experience

As a Quantitative Trading researcher, you have strong analytical capabilities and are fully comfortable with financial markets and trading algorithms in order books.

You are / have

5+ years of experience in quantitative research at a bank, asset manager, or trading firm;

Strong attention to detail;

Good communicator;

Programming skills in Python;

Prior experience in building or researching trading algorithms;

Desirable: a master's degree or PhD in a relevant hard science, e.g., maths, statistics, astronomy, physics, quant finance, etc.

A passion for algorithmic trading

The ability to take ownership of a project while collaborating with colleagues;

Fluency in English.

Our recruitment philosophy

We value self-awareness and powerful communication skills in our recruitment process.

We seek fiercely passionate people who understand themselves and their career goals.

We're after those with the right skills and a conscious choice to join our field.

The perfect fit? A crypto enthusiast who's driven, collaborative, acts with ownership, and delivers solid, scalable outcomes.

Our offer

A competitive salary package

Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely.

The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence.

As an employer, we are committed to building a positive and collaborative work environment.

We welcome employees of all backgrounds, and hire, reward, and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Candidates should have 5+ years of experience in quantitative research and strong analytical capabilities.

A master's degree or PhD in a relevant hard science is desirable, along with programming skills in Python and a passion for algorithmic trading.

Chemical Researcher

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• Bachelor s degree in Chemistry, Biochemistry, or a related field is required.
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• At least 2-3 years of experience working in a laboratory setting.
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• Strong knowledge of laboratory techniques and chemical analysis methods.
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• Proficiency in using laboratory equipment, including spectrometers and chromatographs.
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• Excellent problem-solving skills and ability to work independently and in a team.
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• Strong attention to detail and commitment to producing accurate results.
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• Good communication skills, both written and verbal, for effective collaboration.
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