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clinical scientist

National Reference Laboratory (NRL)

<div>
 
 Overview
 
 
 
 M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale.
 
 
 National Reference Laboratory (NRL) has expanded from a single standalone reference laboratory to a network of 12 state-of-the-art facilities across the United Arab Emirates. NRL provides world-class diagnostic services to the M42 network and partners with more than 250 clients from a wide range of market segments, including private and government hospitals, medical centers and clinics, corporate organizations, and other reference laboratories.
 
 
 We are seeking a highly qualified UAE National for our Neuroimmunology Laboratory, the first of its kind in the GCC. In collaboration with leading international labs, NRL uses advanced technologies such as flow cytometry, microscopy, and immunohistochemistry to provide accurate and timely testing for severe neurological diseases, improving detection and treatment across the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct specialized laboratory analyses in neurochemistry and neuroimmunology.
 </li>
 <li>
 Perform hands-on bench work using advanced techniques (flow cytometry, immunochemistry, microscopy, etc.).
 </li>
 <li>
 Ensure accuracy and attention to detail in all laboratory procedures.
 </li>
 <li>
 Collaborate with international laboratories and participate in the adoption of new technologies.
 </li>
 <li>
 Travel abroad for training (up to 3 months at a time, total of 12 months; all expenses covered).
 </li>
 <li>
 Maintain high standards under stressful conditions and commit to long-term contribution to the laboratory.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Education
 
 
 <ul>
 <li>
 BSc in Medical Laboratory Technology/ Medical Labotatory Science or equivalent qualification and MSc in a relevant speciality.
 </li>
 <li>
 BSc in Medical Laboratory Technology/ Medical Labotatory Science or equivalent qualification and PhD degree in a relevant speciality.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 PhD: 0-3 years research laboratory experience.
 </li>
 <li>
 MSc: Minimum 5 years&rsquo; experience in ISO/CAP-accredited clinical laboratories.
 </li>
 <li>
 Preferred experience with flow cytometry, tissue examination, and immunochemistry.
 </li>
 <li>
 Prefferred DOH license eligabilite as Clinical Scientist
 
 
 </li>
 </ul>
 
 Job-Specific Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Flexibility to travel abroad for training (up to 3 months at a time, total of 12 months; all expenses covered).
 </li>
 <li>
 Strong attention to detail and precision in laboratory work.
 </li>
 <li>
 Ability to work under pressure and manage complex laboratory tasks.
 </li>
 <li>
 Commitment to hands-on advanced laboratory work and continuous learning in neuroimmunology.
 </li>
 </ul>
</div>

Clinical Scientist

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

Elios Talent

<div>
 
 🌟
 
 Senior Data Scientist
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Advanced Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Data Scientist
 
 based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 
 
 
 
 
 This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
 
 
 
 
 
 This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access, analyze, and interpret
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate machine learning model outputs and ensure alignment with operational expectations
 </li>
 <li>
 Tune local parameters to optimize predictive performance in field conditions
 </li>
 <li>
 Identify anomalies, data drift, and data quality issues in near real time
 </li>
 <li>
 Generate
 
 high-quality error metrics
 
 and structured evaluation reports
 </li>
 <li>
 Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
 </li>
 <li>
 Produce clear, thorough technical documentation to support cross-team workflows
 </li>
 <li>
 Communicate findings, concerns, and recommendations with precision and clarity
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi strongly preferred)
 </li>
 <li>
 Senior-level experience in data science, ML modeling, or applied analytics
 </li>
 <li>
 Strong understanding of time-series data, anomaly detection, and model validation workflows
 </li>
 <li>
 Experience working with operational or real-time industrial data (energy sector is a plus)
 </li>
 <li>
 Ability to independently evaluate models, tune parameters, and assess data quality
 </li>
 <li>
 Excellent written and verbal communication skills for U.S. and in-country collaboration
 </li>
 <li>
 Detail-oriented, structured, and highly reliable in fast-moving technical environments
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

<div>
 
 🌟
 
 Senior Physics Engineer (or Hybrid Data Scientist)
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Physics-Driven Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Physics Engineer
 
 &mdash;or a hybrid engineer/data scientist with strong physics-based modeling experience&mdash;to support real-time well data operations in the UAE. The ideal candidate is analytical, detail-oriented, and highly capable of validating and improving models in field conditions.
 
 
 
 
 
 You will serve as a critical link between In-Country operations and U.S.-based engineering teams, ensuring that model outputs are accurate, parameters are properly tuned, and anomalies or data integrity issues are quickly surfaced. Strong technical communication and documentation skills are essential for enabling seamless global collaboration.
 
 
 
 
 
 This role is perfect for someone who blends applied physics knowledge with modern data analysis and who excels in high-impact, real-time operational environments.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access and analyze
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate
 
 physics-based and hybrid ML model outputs
 
 to ensure alignment with real-world behavior
 </li>
 <li>
 Tune local model parameters to improve predictive accuracy under field-specific conditions
 </li>
 <li>
 Identify anomalies, edge cases, and data quality issues in streaming or near real-time data
 </li>
 <li>
 Produce
 
 high-quality error metrics
 
 to accelerate iteration cycles between UAE and U.S.-based teams
 </li>
 <li>
 Document evaluation methods, findings, and parameter changes in clear, structured formats
 </li>
 <li>
 Collaborate with U.S. engineers and data scientists to refine models and incorporate field insights
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi highly preferred)
 </li>
 <li>
 Background in
 
 physics, petroleum engineering, mechanical engineering, or applied data science
 
 </li>
 <li>
 Experience with physics-based modeling, simulation, or hybrid ML approaches
 </li>
 <li>
 Strong understanding of real-time or time-series operational data, ideally in the energy sector
 </li>
 <li>
 Ability to evaluate models, tune parameters, and identify data anomalies independently
 </li>
 <li>
 Strong communication skills for cross-border collaboration and clear documentation
 </li>
 <li>
 Detail-oriented, reliable, and able to operate efficiently in dynamic field environments
 </li>
 </ul>
 
 
</div>

Senior Physics Engineer

Presight

<div>
 
 Overview
 
 
 
 Job Description: Principal Data Scientist | Abu Dhabi, UAE
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 
 
 Position Overview
 
 
 We are seeking a Principal Data Scientist with deep expertise in large language models (LLMs) and applied AI, who can both shape the strategic direction of our GenAI capabilities and deliver cutting-edge solutions across sectors. This role goes beyond hands-on modelling&mdash;it encompasses setting the LLM and agentic AI strategy, building scalable frameworks, guiding technical teams, and influencing product and business roadmaps.
 
 
 The Principal Data Scientist will play a pivotal role in architecting Presight&rsquo;s AI ecosystem, ensuring our models are not only state-of-the-art but also aligned with organisational priorities, partner expectations, and responsible AI standards.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 Strategy &amp; Leadership
 
 
 <ul>
 <li>
 Define the strategic roadmap for LLMs and agent-driven AI within Presight, aligning with business goals, client needs, and regulatory frameworks.
 </li>
 <li>
 Act as the thought leader and subject matter expert, guiding executives and partners on GenAI opportunities, risks, and best practices.
 </li>
 <li>
 Mentor, coach, and upskill data scientists and engineers, building organisational capability in LLMs and applied machine learning.
 
 
 </li>
 </ul>
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay ahead of global research in foundation models, reasoning, and multi-modal AI; assess and integrate relevant breakthroughs into Presight&rsquo;s platforms.
 </li>
 <li>
 Represent Presight in the AI ecosystem (conferences, publications, collaborations) to enhance visibility and credibility.
 </li>
 <li>
 Establish frameworks for responsible AI&mdash;bias mitigation, fairness, security, and data governance.
 
 
 </li>
 </ul>
 Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Oversee the design and scaling of LLM-driven applications (knowledge assistants, copilots, decision intelligence tools, domain-specific copilots).
 </li>
 <li>
 Lead the creation of agentic workflows, integrating LLMs with enterprise data, APIs, and external systems for autonomous execution.
 </li>
 <li>
 Architect multi-modal AI pipelines, combining structured and unstructured data, vision, and knowledge graphs to unlock insights.
 </li>
 <li>
 Ensure production systems meet performance, scalability, and cost-efficiency standards.
 
 
 </li>
 </ul>
 Cross-Functional Influence
 
 
 <ul>
 <li>
 Partner with product, engineering, and client teams to translate AI research into real-world impact.
 </li>
 <li>
 Guide vendor and partner selection for LLM infrastructure, orchestration frameworks, and ecosystem tools.
 </li>
 <li>
 Serve as escalation point for technical complexity in strategic programmes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, AI/ML, Data Science, Applied Mathematics, or a related field.
 </li>
 <li>
 8+ years of progressive experience in AI/ML, with at least 3 years at a strategic or principal/lead level.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Proven leadership in defining and executing LLM/GenAI strategies in complex organisations or large-scale projects.
 </li>
 <li>
 Track record of deploying LLM-powered applications into production at enterprise scale.
 </li>
 <li>
 Experience building or influencing multi-disciplinary AI teams (data science, engineering, product).
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Deep knowledge of LLM fine-tuning, evaluation, and optimisation (RLHF, RAG, prompt engineering, alignment).
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Milvus).
 </li>
 <li>
 Expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
 </li>
 <li>
 Ability to set direction, inspire teams, and communicate complex concepts to both technical and executive audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to multi-agent systems and autonomous planning frameworks.
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and advanced reasoning models.
 </li>
 <li>
 Awareness of regulatory, ethical, and societal implications of GenAI at scale.
 
 
 </li>
 </ul>
 What Presight Offers
 
 
 <ul>
 <li>
 Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
 </li>
 <li>
 Impact: High-visibility role driving Presight&rsquo;s LLM and GenAI strategy across industries.
 </li>
 <li>
 Career: Leadership pathway with accelerated growth, ecosystem engagement, and the chance to shape AI adoption at national scale.
 </li>
 <li>
 Rewards: Competitive package with healthcare, education support, leave benefits, and more.
 </li>
 </ul>
</div>

Principal Data Scientist

<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Senior Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Senior Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.
 </li>
 <li>
 Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.
 </li>
 <li>
 End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.
 </li>
 <li>
 Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil &amp; gas industry.
 </li>
 <li>
 Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements &ndash; Experience
 
 
 
 <ul>
 <li>
 At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.
 </li>
 <li>
 Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.
 </li>
 <li>
 Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.
 </li>
 <li>
 Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.
 </li>
 <li>
 Demonstrated experience designing and implementing agentic AI systems&mdash;task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.
 </li>
 <li>
 Experience in Geoscience applications to the Oil &amp; Gas sector is a plus.
 
 
 </li>
 </ul>
 
 Requirements &ndash; Key Skills
 
 
 
 <ul>
 <li>
 Strong foundation in applied mathematics and statistics.
 </li>
 <li>
 Proficiency in machine learning and deep learning techniques.
 </li>
 <li>
 Advanced Python programming skills for AI development.
 </li>
 <li>
 Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).
 </li>
 <li>
 Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.
 </li>
 <li>
 Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.
 </li>
 <li>
 Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
 </li>
 <li>
 Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.
 </li>
 <li>
 Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).
 </li>
 <li>
 Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.
 </li>
 <li>
 Excellent communication skills for conveying technical concepts effectively.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
 </li>
 </ul>
</div>

Discovered MENA

<div>
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Abu Dhabi (On site)
 
 
 
 
 
 We&rsquo;re hiring
 
 Data Scientists
 
 to join one of the world&rsquo;s largest and most respected financial institutions! If you&rsquo;re passionate about turning data into meaningful insights and building impactful AI solutions, we&rsquo;d love to hear from you.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 In this role, you&rsquo;ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with large, complex datasets to solve real-world business problems
 </li>
 <li>
 Collect, clean, and preprocess data for analysis and model training
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover insights and guide model development
 </li>
 <li>
 Build, train, and optimize machine learning models using modern algorithms and frameworks
 </li>
 <li>
 Develop end-to-end ML pipelines, from data ingestion to model deployment
 </li>
 <li>
 Automate model training, testing, and deployment using CI/CD and MLOps tools
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 5+ years of experience in data science, machine learning, or AI
 </li>
 <li>
 Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs)
 </li>
 <li>
 Proficiency in Python and/or R, with working knowledge of SQL
 </li>
 <li>
 Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop)
 </li>
 <li>
 Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real-time or batch inference
 </li>
 <li>
 Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow
 </li>
 <li>
 Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 If this sounds like the right next step for you,
 
 apply now
 
 !
 
</div>

Data Scientist

Explore 87+ Clinical scientist in Special Education Jobs In Nursing Jobs In Abu Dhabi this January. Find roles across top companies and apply now to boost your career.

87 clinical scientist jobs IN Special Education Jobs In Nursing Jobs In Abu Dhabi

Clinical Scientist

AI Data Scientist - Agentic LLMs for Public Safety

Senior Data Scientist

Senior Physics Engineer

Principal Data Scientist

Senior Data Scientist

Data Scientist