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senior applied scientist Jobs in Abu Dhabi

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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.
 
 
 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>
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 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>
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 PhD: 0-3 years research laboratory experience.
 </li>
 <li>
 MSc: Minimum 5 years&rsquo; experience in ISO/CAP-accredited clinical laboratories.
 </li>
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 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>
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 Flexibility to travel abroad for training (up to 3 months at a time, total of 12 months; all expenses covered).
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 Strong attention to detail and precision in laboratory work.
 </li>
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 Ability to work under pressure and manage complex laboratory tasks.
 </li>
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 Commitment to hands-on advanced laboratory work and continuous learning in neuroimmunology.
 </li>
 </ul>
</div>

Clinical Scientist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs, lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in Fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div>

Sports Scientist and Data Analyst

Quantum One | Q One

<div>
 
 
 
 About Us
 
 
 
 
 
 Quantum One
 
 is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 
 
 We&rsquo;re looking for a highly skilled and motivated
 
 Data Scientist
 
 to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 
 
 
 
 
 
 
 Our Offer &amp; Your Growth
 
 
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 
 <ul>
 <li>
 Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
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 Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
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 Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
 </li>
 <li>
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with our international team and clientele.
 </li>
 <li>
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
 </li>
 </ul>
 
 
 
 
 
 Machine Learning Expertise:
 
 
 <ul>
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 Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
 </li>
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 Model Interpretation: Experience utilizing tools like SHAP for model explainability.
 </li>
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 Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
 </li>
 </ul>
 
 
 
 
 
 Advanced AI Systems (Highly Valued):
 
 
 
 Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 
 <ul>
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 Frameworks: LangChain.
 </li>
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 Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
 </li>
 </ul>
 
 
</div>

Lead Data 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

ICARDA

Reports to: Research Team Leader - Soils, Waters and Agronomy
 Location: Abu Dhabi, UAE
 
Main purpose of the position
 ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.
 The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.
 
About ICARDA: 
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.
 ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.
 
Main responsibilities: 
<ul>
<li>Work across various ICARDA programs with a cohort of datasets: geospatial, biophysical, climatic, genomic and socioeconomic datasets to improve predictive capabilities of various agrifood system processes (from gene to regional scales).</li>
<li>Develop Predictive AI solutions (machine learning, ANN, big data-based forecasting) and use generative AI applications to accelerate resilience in agriculture in the non-tropical drylands where ICARDA operates.</li>
<li>Example works include, but not limited to, mapping crop yield gaps, crop-water relations, soil salinity, climate risks, crop and livestock disease outbreaks, pest infestations, crop ideotype design, analyzing HTP phenotypic data, mapping soil carbon, and socioeconomic processes etc. Utilize geospatial analysis and remote sensing to assess dynamics of land use, crop conditions, and natural resources in irrigated, rainfed, deserts and rangelands, TPE analytics to help crop improvement etc.</li>
<li>Take leadership in cloud-based Data/AI workflows using AWS, Azure, or GCP along with the necessary cyber security protocols.</li>
<li>Provide thought leadership and advocacy for the application of different Large Language Models (LLMs) and GPTs for agricultural applications, such as text analysis of agricultural reports and farmer interviews. Provide supervision and oversight to test the efficacy of the LLMs/GPTs developed in CGIAR and bilateral initiatives for e-extension service platforms and other tools.</li>
<li>Engage in science-policy dialogues on digital actions with the key stakeholders at national and sub-national levels and liaise with key partners and play an active role in resource mobilization of the digital and data-driven research program at ICARDA.</li>
<li>Develop user-friendly applications and dashboards to visualize and communicate data insights to stakeholders in collaboration with developers and the software industry. These applications can be in across the ICARDA programs.</li>
<li>Be the focal point for ICARDA to identify, collect, and curate relevant data from various ICARDA teams, external sources including government agencies, farmers, and remote sensing platforms complying with the CGIAR FAIR data (Findable, Accessible, Interoperable, Reusable) principles.</li>
<li>Explore the use of IoT devices and sensors for data collection and real-time monitoring of agricultural and hydrometeorological variables and archive it to centralized databases located within ICARDA IT platforms.</li>
<li>Lead and support concept note and proposal development to strengthen ICARDA’s resource mobilization efforts, while advancing a vibrant Digital and Data Science portfolio through collaborative project design and strategic partnerships.Stay updated on the latest advancements in the field and explore their potential applications in the nontropical dryland regions and liaise with key partners and stakeholders. Publish research findings in peer-reviewed journals and conferences.</li>
<li>Strengthen institutional capacity in data science and AI through training, mentoring junior staff, embedding reproducible workflows, and promoting standardized practices across projects.</li>
</ul>
Requirements: 
Education, qualifications, and experience
 
Essential qualifications and competencies:: 
<ul>
<li>Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline.</li>
<li>A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level is required.</li>
<li>Candidates with a Master’s degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries.</li>
<li>Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing is essential.</li>
<li>Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous.</li>
<li>Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL).</li>
<li>Demonstrated ability to lead data science projects and teams effectively.</li>
<li>Excellent communication and interpersonal skills are essential for engaging and collaborating with diverse stakeholders.</li>
<li>Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums is frequently required.</li>
<li>Capable of working both independently and collaboratively within a team setting.</li>
<li>Previous experience in agricultural research or related fields.</li>
<li>Knowledge of the agricultural context in the dryland regions.</li>
<li>Experience with leading ICT4D and data-centric projects.</li>
<li>Track record of publications in relevant scientific journals and web-based repositories such as GitHub.</li>
</ul>
Desirable skills:: 
<ul>
<li>Strong programming skills in languages such as Python, R, and JavaScript to develop and implement</li>
</ul>
AI and ML solutions.
 
Benefits: 
Terms of appointment, salary, and benefits: 
This is an internationally recruited staff position for which ICARDA offers an attractive compensation package including a competitive salary, medical insurance, 30 days of annual leave, five months’ maternity leave, 15 days’ paternity leave. The successful candidate will be offered an initial contract of 3 years, renewable subject to continued need for the position, availability of funds and satisfactory performance. The first year will be probationary period.
 
ICARDA accepts applications only in English which is the organization’s official communication language. Applications in other languages will not be considered.
 Only shortlisted applications will be contacted.

Readvertisement - Data Scientist (Scientist/Senior Scientist)

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

Data Scientist

Explore 127+ Clinical scientist in Abu Dhabi this December. Find roles across top companies and apply now to boost your career.

127 clinical scientist jobs IN Abu Dhabi

Clinical Scientist

Clinical Scientist

Sports Scientist and Data Analyst

Lead Data Scientist

AI Data Scientist - Agentic LLMs for Public Safety

Readvertisement - Data Scientist (Scientist/Senior Scientist)

Data Scientist