6 Scientific Experimentation jobs in the United Arab Emirates
Course: Effective Business Decisions Using Data Analysis
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Effective Business Decisions Using Data Analysis
ID 257
Course: Effective Business Decisions Using Data Analysis
This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.
This course will feature:- Discussions on applications of data analytics in management
- The importance of data in data analytics
- Applying data analytical methods through worked examples
- Focusing on management interpretation of statistical evidence
- How to integrate statistical thinking into the work domain
- Explain the scope and structure of data analytics.
- Apply a cross-section of useful data analytics.
- Interpret meaningfully and critically assess statistical evidence.
- Identify relevant applications of data analytics in practice.
- Professionals in management support roles
- Analysts who typically encounter data/analytical information regularly in their work environment
- Those who seek to derive greater decision-making value from data analytics
This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
The Course Content- Day One: Setting the Statistical Scene in Management
- Introduction; The quantitative landscape in management
- Thinking statistically about applications in management (identifying KPIs)
- The integrative elements of data analytics
- Data: The raw material of data analytics (types, quality, and data preparation)
- Exploratory data analysis using Excel (pivot tables)
- Using summary tables and visual displays to profile sample data
- Day Two: Evidence-based Observational Decision Making
- Numeric descriptors to profile numeric sample data
- Central and non-central location measures
- Quantifying dispersion in sample data
- Examine the distribution of numeric measures (skewness and bimodal)
- Exploring relationships between numeric descriptors
- Breakdown analysis of numeric measures
- Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
- The foundations of statistical inference
- Quantifying uncertainty in data – the normal probability distribution
- The importance of sampling in inferential analysis
- Sampling methods (random-based sampling techniques)
- Understanding the sampling distribution concept
- Confidence interval estimation
- Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
- The rationale of hypotheses testing
- The hypothesis testing process and types of errors
- Single population tests (tests for a single mean)
- Two independent population tests of means
- Matched pairs test scenarios
- Comparing means across multiple populations
- Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
- Exploiting statistical relationships to build prediction-based models
- Model building using regression analysis
- Model building process – the rationale and evaluation of regression models
- Data mining overview – its evolution
- Descriptive data mining – applications in management
- Predictive (goal-directed) data mining – management applications
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Business Analysis and Data Analyst
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Job Title: Business Data Analyst (Banking) - Digital Transformation
Job Type: Full-Time Contract (1 year, renewable)
Location: On-site, Dubai, Dubai, United Arab Emirates
Job Summary:
Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.
Key Responsibilities- Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
- Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
- Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
- Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
- Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
- Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
- Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
- 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
- High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
- Proven experience working with core-banking systems and exposure to digital transformation projects.
- Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
- Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
- Strong analytical and critical thinking abilities with excellent stakeholder management.
- Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
- Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
- Expertise in digital banking products, customer journey mapping, and process optimization.
Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.
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Research Scientist Intern
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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.
Job Description- 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.
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Research Scientist in Glacier Modelling - NYU Abu Dhabi
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New York University in Abu Dhabi, through its NYU Abu Dhabi Institute, seeks to be a world-class center of cutting-edge research, scholarship, and cultural activity. The institute offers outstanding facilities; research funding at a significant level and with exceptional continuity of support; and a vigorous, cohesive, and interactive intellectual environment. Further details about the institute are found at nyuad.nyu.edu/institute/. The research group at the Centre for Sea Level Change (CSLC) works in various areas of sea-level change science ranging from meteorological, oceanographic, and glaciological observations, both in situ and remote sensing, as well as component and coupled models of the atmosphere, ocean, and glacier system. For details, see nyuad.nyu.edu/en/research/nyuad-institute/institute-research/cslc.html.
Summary of the roleThe CSLC is looking to hire a researcher with expertise in glacier and ice shelf modelling. The scientist will work with others in a team to characterize Antarctic glaciers and assess their instability. The incumbent will perform research on the dynamics of Antarctic glaciers and the effect of ocean and atmosphere on their motion and instability. The work involves, in addition to modelling, the development of diagnostics using satellite and ground-based observational datasets and the possibility to join field campaigns in Arctic and Antarctic.
Main Duties and Key responsibilities- Conducting and analyzing experiments on glacier dynamic processes using a glacier model, satellite observations and ground-based observations to assess their instability.
- Developing diagnostics of the physical processes involved in the interactions between glaciers, ice shelves, ocean, sea ice and atmosphere, based on observational and numerical datasets.
- Conduct scientific studies, publish results in peer-reviewed journals and communicate about them in international conferences.
- Good interpersonal and communication skills
- Excellent analytical and problem-solving skills with a proactive approach
- Dedication and enthusiasm to work in a team
- Ability to work efficiently and complete diverse tasks in a timely manner
Education
A PhD degree in oceanography, glaciology or a related discipline.
Experience
Experience with numerical models.
Experience in analyzing large geophysical datasets.
Experience with high-performance computing environments and scientific codes.
Familiarity with glacial modeling software (e.g., ELMER ICE) is an advantage.
Knowledge and skills
Very good programming and scripting skills are expected.
Good understanding of physical processes involved in the interaction between the atmosphere, sea ice, the ocean and land ice is essential.
Language
Candidates must be able to work effectively in English and interviews will be conducted in English.
How to applyTo be considered, candidates should submit Curriculum Vitae (including the list of their peer-reviewed publications) and the names of three professional references, all in PDF format by email to Dr. Diana FRANCIS ( ) with Prof. David Holland ( ) and Denise Holland ( ) in copy.
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Research Scientist (RT-PCR Kit R&D and Manufacturing)
Posted 19 days ago
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Department: R&D / Manufacturing Reports to: Head – R&D / Technical Director Role Summary The Research Scientist will be responsible for research, development, optimization, validation, and transfer to manufacturing of RT-PCR diagnostic kits. The role involves assay design, troubleshooting, analytical validation, and ensuring compliance with regulatory and quality standards for molecular diagnostics. Key Responsibilities • Assay Development & Optimization • Design and optimize primers, probes, and reaction conditions for real-time PCR–based assays. • Develop multiplex RT-PCR assays with high sensitivity and specificity. • Standardize sample preparation, nucleic acid extraction, and amplification workflows. • Validation & Verification • Conduct analytical validation (LOD, linearity, specificity, cross-reactivity, precision, reproducibility). • Support clinical validation studies with reference materials and clinical samples. • Prepare technical reports and validation documents. • Technology Transfer & Manufacturing • Scale-up optimized assays for routine kit manufacturing. • Prepare and standardize master mixes, controls, and QC panels. • Work closely with production and QA/QC teams for batch release and troubleshooting. • Regulatory & Quality Compliance • Ensure compliance with ISO 13485, IVD regulations, and applicable international standards. • Draft and maintain SOPs, technical files, and risk management documents. • Support regulatory submissions and audits. • Cross-Functional Collaboration • Liaise with product management, manufacturing, and quality teams to ensure smooth R&D-to-market transition. • Train technical staff on new assay protocols and troubleshooting.
Requirements
• Ph.D. / M.Sc. / M.Tech. in Molecular Biology, Biotechnology, Biochemistry, Microbiology Life Sciences, Genetics or related field. • PhExperience in NGS/Genomics would be a plus. • PhExperience in assay design, troubleshooting, analytical validation, and ensuring compliance with regulatory and quality standards for molecular diagnostics.
About the company
We are experts in helping companies create great promotional products that are effective in marketing goals.We have been doing this for many years and we are proud to say that we offer our clients with branding opportunities that really work.
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Research Scientist in the Center for Water Research - Dr. Nidal Hilal
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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
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