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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

M42 Health

<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.
 
 
 Biogenix Labs, our Omics Center of Excellence, is a pioneering facility advancing precision medicine through cutting-edge genomic and molecular technologies. Specializing in Next-Generation Sequencing (NGS) and multi-omics research, the lab delivers deep insights into human health, disease, and treatment pathways. As part of M42&rsquo;s Integrated Health Solutions platform, Biogenix Labs accelerates scientific discovery, supports national programs, and strengthens the UAE&rsquo;s leadership in personalized healthcare.
 
 
 As the Variant Scientist will work under supervision of the Clinical Geneticist to accurately analyze and classify germline and somatic variants from genomic sequencing data using in-house software and scientific literature to produce high-quality clinical reports.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Accurately classify germline and somatic variants for Whole Genome/Whole Exome Sequencing, and panel tests.
 </li>
 <li>
 Utilize a variety of in-house software tools to analyze clinical molecular data.
 </li>
 <li>
 Read and interpret scientific literature and curate relevant findings in a clear, concise, and precise manner.
 </li>
 <li>
 Summarize inherited and somatic genetic test results to generate high quality clinical reports.
 </li>
 <li>
 Perform critical quality control functions for molecular reports that complies with quality management programs and standard operating procedures.
 </li>
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 Support improvements for current assays and processes.
 </li>
 <li>
 Curate variants, genes, and diseases for scientific and clinical relevance.
 </li>
 <li>
 May train junior team members.
 </li>
 <li>
 Develop SOP for variant interpretation; maintain tracking documents in relation to the variant-scoring process.
 </li>
 <li>
 Collaborate with the Bioinformatician/IT regarding technology needs for new gene tests.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 PhD degree in Cancer Genetics, Human Genetics, or Biological Sciences.
 </li>
 <li>
 Minimum of 2-3 years of related experience in Variant Interpretation.
 </li>
 <li>
 Ability to research variants of unknown significance using literature searches with detailed annotation and integration of different data types in a timely fashion.
 </li>
 <li>
 Ability to use and understand external databases and tools such as COSMIC, TCGA, predictive Networks, ASIAN, SEBINI, CARRIE, and INSIGHT and prediction software such as polyphon, SIFT, Mutation Taster, ALAMUT, UCSC Genome Browser, Ensembl Genome Browser, NCBI BLAST.Restricted.
 </li>
 <li>
 Experience with DNA sequence analysis, next-generation sequencing (NGS) technologies, use of online database entire ecosystem of real-world evidence to deliver real-time, actionable.
 </li>
 <li>
 Excellent analytic skills.
 </li>
 <li>
 Excellent writing and communication skills, organization, and meticulousness.
 </li>
 <li>
 Understand experimental methods, data analysis methods and inferences that can be applied to both single-gene experimentation and high-throughput analyses.
 </li>
 <li>
 Understand large genomic datasets, and their computational analysis, integrating protein and genetic interaction data, regulatory data at the DNA, RNA, and protein levels, polymorphism and disease associated sequence variation data, quantitative phenotypic data and drug-target interaction data.
 </li>
 </ul>
</div>

Variant 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

Core42

<div>
 
 Data Scientist, Core42, Abu Dhabi &ndash; UAE
 
 
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 The opportunity
 
 
 
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
 </li>
 <li>
 Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
 </li>
 <li>
 Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
 </li>
 <li>
 Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
 </li>
 <li>
 Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
 </li>
 <li>
 Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
 </li>
 <li>
 Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
 </li>
 <li>
 Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Required skills / qualifications
 </li>
 <li>
 Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
 </li>
 <li>
 Minimum 10 years of general technological experience.
 </li>
 <li>
 At least 5 years of specific experience working as a data scientist within cloud environments.
 </li>
 <li>
 Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
 </li>
 <li>
 Mastery of data science, analytics, and advanced modeling techniques.
 </li>
 <li>
 Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
 </li>
 <li>
 Experience deploying AI/ML workloads in cloud or HPC environments.
 </li>
 <li>
 Solid understanding of cybersecurity best practices and secure data handling principles.
 </li>
 <li>
 Proven leadership skills, with experience managing or mentoring technical teams.
 </li>
 <li>
 Preferred skills / qualifications
 </li>
 <li>
 Experience building and deploying generative AI solutions at scale.
 </li>
 <li>
 Strong strategic planning and execution capabilities within complex technical environments.
 </li>
 <li>
 Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
 </li>
 <li>
 Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
 </li>
 <li>
 Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
 </li>
 </ul>
</div>

Data Scientist

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

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.Responsibilities<ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul>Requirements<ul><li>Experience: 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul>Bonus<ul><li>Experience with geospatial data analysis.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

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