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clinical scientist

National Reference Laboratory (NRL)

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job-Specific Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <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>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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>
  <li>
   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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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

Elios Talent

<div>
 <p>
  🌟
  <strong>
   Senior Data Scientist
  </strong>
  🌟
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Abu Dhabi (UAE-based)
  </strong>
 </p>
 <p>
  💼
  <strong>
   Contract Role | In-Country Delivery
  </strong>
 </p>
 <p>
  🛢️
  <strong>
   Energy &bull; Real-Time Well Data &bull; Advanced Modeling
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💡
  <strong>
   Job Information
  </strong>
 </p>
 <p>
  We&rsquo;re seeking a
  <strong>
   Senior Data Scientist
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🧭
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Access, analyze, and interpret
   <strong>
    live well data
   </strong>
   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
   <strong>
    high-quality error metrics
   </strong>
   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>
 <p>
  <br/>
 </p>
 <p>
  🎯
  <strong>
   Ideal Candidate Profile
  </strong>
 </p>
 <ul>
  <li>
   Must be
   <strong>
    based in the UAE
   </strong>
   (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>
 <p>
 </p>
</div>


Senior Data Scientist

<div>
 <p>
  🌟
  <strong>
   Senior Physics Engineer (or Hybrid Data Scientist)
  </strong>
  🌟
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Abu Dhabi (UAE-based)
  </strong>
 </p>
 <p>
  💼
  <strong>
   Contract Role | In-Country Delivery
  </strong>
 </p>
 <p>
  🛢️
  <strong>
   Energy &bull; Real-Time Well Data &bull; Physics-Driven Modeling
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💡
  <strong>
   Job Information
  </strong>
 </p>
 <p>
  We&rsquo;re seeking a
  <strong>
   Senior Physics Engineer
  </strong>
  &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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🧭
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Access and analyze
   <strong>
    live well data
   </strong>
   from in-country systems
  </li>
  <li>
   Validate
   <strong>
    physics-based and hybrid ML model outputs
   </strong>
   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
   <strong>
    high-quality error metrics
   </strong>
   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>
 <p>
  <br/>
 </p>
 <p>
  🎯
  <strong>
   Ideal Candidate Profile
  </strong>
 </p>
 <ul>
  <li>
   Must be
   <strong>
    based in the UAE
   </strong>
   (Abu Dhabi highly preferred)
  </li>
  <li>
   Background in
   <strong>
    physics, petroleum engineering, mechanical engineering, or applied data science
   </strong>
  </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>
 <p>
 </p>
</div>


Senior Physics Engineer

Digital Corner for Network Solutions

<p><b>About</b></p><p>This 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.</p><p><b>Responsibilities</b></p><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><p><b>Requirements</b></p><ul><li><b>Experience:</b> 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><p><b>Bonus</b></p><ul><li>Experience with geospatial data analysis.</li></ul><p>Job Type: Full-time</p><p>Pay: AED10,000.00 - AED15,000.00 per month</p>

Data Scientist

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Research Centers
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Dec 12, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Dec 17, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Water Research Center (WRC) at NYU Abu Dhabi invites applications for an Associate Research Scientist to contribute to cutting-edge research on membrane fouling and functional membranes, including electrically conductive membranes. The successful candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering Department, collaborating with a multidisciplinary team of researchers and graduate students. The Associate Research Scientist will have access to state-of-the-art research facilities at NYUAD.</p>
<p>
This position supports two interconnected research streams:</p>
<ul>
<li>Investigating membrane fouling mechanisms and mitigation strategies in desalination and water treatment processes.</li>
<li>Developing and optimizing functional membranes, including electrically conductive membranes, for use in desalination, energy generation, and electrochemical separations.</li>
</ul>
<p>Responsibilities:</p>
<ul>
<li>Conduct research on membrane fouling (biofouling, scaling, organic fouling), diagnostics, and control strategies.</li>
<li>Design, fabricate, and characterize functional membranes (e.g., conductive, anti-fouling, electrochemical systems).</li>
<li>Operate and evaluate membrane systems (RO, NF, UF) at lab and pilot scales.</li>
<li>Apply advanced characterization techniques (e.g., SEM, AFM, FTIR, XRD, TGA, BET, EDX, EIS, CV).</li>
<li>Collaborate with interdisciplinary researchers in materials science, chemical and environmental engineering.</li>
<li>Contribute to mentorship of students and lab group discussions.</li>
</ul>
<p>Minimum Qualifications:</p>
<ul>
<li>PhD in Chemical Engineering, Environmental Engineering, Materials Science, Mechanical Engineering, or a related field.</li>
<li>Strong background in membrane science with demonstrated expertise in either membrane fouling or electrochemical membrane technologies.</li>
<li>Experience with membrane fabrication, testing, and characterization.</li>
<li>Solid analytical and problem-solving skills; ability to work independently and collaboratively.</li>
<li>A strong publication record with first-author articles.</li>
</ul>
<p>Desired Qualifications:</p>
<ul>
<li>Expertise in fouling analysis and mitigation, including cleaning protocols and pretreatment strategies.</li>
<li>Familiarity with conductive membranes, carbon-based materials, or mixed-matrix systems.</li>
<li>Experience with electrochemical methods (e.g., EIS, CV) and surface functionalization.</li>
<li>Knowledge of materials for charge transport and ion exchange.</li>
<li>Prior collaboration with international or multidisciplinary research teams.</li>
</ul>
<p>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. 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, a transcript, and at least 2 references, all in PDF format.</p>
<p>
Applications will be reviewed immediately and the position will remain open until filled.</p>
<p>
About NYUAD:</p>
<p>
https://nyuad.nyu.edu/en/</p>
<p>
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.</p>
<p>
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.</p>
<p>
UAE Nationals are encouraged to apply.</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div><p></p>

Associate Research Scientist in the Water Research Center (WRC) - Dr. Raed Hashaikeh

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