sales engineer

data scientist

qs engineer

agricultural engineer

agriculture engineer

applied scientist

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Applied Scientist

Presight

<div>
 <p>
  <strong>
   About Presight
  </strong>
 </p>
 <p>
  Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly skilled Senior Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Senior Applied Scientist Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
  </li>
  <li>
   Create code that is elegant and maintainable
  </li>
  <li>
   Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
  </li>
  <li>
   Work closely with software engineering and product development teams on tech selections and solutions.
  </li>
  <li>
   When necessary, debug, optimize and aspire to make things pixel-perfect. Be willing to spend time in making things truly amazing, not just great.
  </li>
 </ul>
 <li>
 </li>
 <p>
  <strong>
   Senior Applied Scientist Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   PhD/Master's degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
  </li>
  <li>
   Must have done academic research in aforementioned fields for at least one year.
  </li>
  <li>
   Published articles on IEEE Transactions or other top-level journals, and/or on top-level AI/ ML) / CV conferences will be a definite advantage.
  </li>
  <li>
   Hands-on experience in feature extraction, feature (eye, pose, gesture, object) tracking, object recognition, object classification, image segmentation and scene understanding
  </li>
  <li>
   Experience in dealing with multi-sensor, multi-modal, multi-camera systems
  </li>
  <li>
   Minimum 7+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
  </li>
  <li>
   Experience in training and evaluating models using TensorFlow and Pytorch
  </li>
  <li>
   Experience with training large-scale systems on large data sets
  </li>
  <li>
   Fluent in C/C++ and Python with over 4 years of experience
  </li>
  <li>
   Track record of shipping working code and solutions based on your contributions
  </li>
  <li>
   Team player, ability to perform in cross functional teams and to share knowledge to others
  </li>
  <li>
   Good communication skills in English
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Applied Scientist

Avrioc Technologies

<div>
 <p>
  🎯
  <strong>
   We're Hiring: Senior Data Scientist / Machine Learning Engineer
  </strong>
 </p>
 <p>
  📍 Location: Abu dhabi
 </p>
 <p>
  📈 Experience: 5+ years
 </p>
 <p>
  🧠 Domain: AI, ML, Deep Learning, Predictive Analytics
 </p>
 <p>
  Are you passionate about turning data into powerful, real-world impact?
 </p>
 <p>
  At
  <strong>
   Avrioc Technologies
  </strong>
  , you&rsquo;ll work in a cross-functional team of engineers, data scientists, and product owners to design and deploy algorithms that touch millions of users.
 </p>
 <p>
  From concept to production, your work will
  <strong>
   shape the future of intelligent platforms.
  </strong>
  🚀
 </p>
 <p>
  🔬
  <strong>
   What You&rsquo;ll Work On:
  </strong>
 </p>
 <p>
  ✔️ Build and optimize ML &amp; Deep Learning models (classification, object detection, style transfer, forecasting)
 </p>
 <p>
  ✔️ Deploy models from notebooks to production pipelines
 </p>
 <p>
  ✔️ Work with
  <strong>
   PyTorch
  </strong>
  ,
  <strong>
   TensorFlow/Keras
  </strong>
  ,
  <strong>
   CUDA
  </strong>
  , and shell scripting
 </p>
 <p>
  ✔️ Implement scalable AI pipelines on
  <strong>
   AWS
  </strong>
  ,
  <strong>
   Azure
  </strong>
  , or
  <strong>
   GCP
  </strong>
 </p>
 <p>
  ✔️ Collaborate across teams to solve real-world product challenges
 </p>
 <p>
  ✔️ Analyze large-scale datasets and drive actionable insights
 </p>
 <p>
  ✔️ Work with ELK Stack, message brokers, and containerized environments
 </p>
 <p>
  📌
  <strong>
   You Should Have:
  </strong>
 </p>
 <p>
  ✅ MS in Statistics, Math, Data Analytics, or related field
 </p>
 <p>
  ✅ 5+ years in applied Data Science / ML roles
 </p>
 <p>
  ✅ Proficiency in Python, R, Scala, or SAS
 </p>
 <p>
  ✅ Experience with cloud-based ML deployment
 </p>
 <p>
  ✅ Deep knowledge of DL frameworks (PyTorch, TensorFlow)
 </p>
 <p>
  ✅ Hands-on with Linux, shell scripting, ELK, and message queues
 </p>
 <p>
  ✅ Strong communication and project planning skills
 </p>
 <p>
  🌟
  <strong>
   Nice to Have:
  </strong>
 </p>
 <p>
  ➕ Experience with media or customer data
 </p>
 <p>
  ➕ Agile/Scrum familiarity
 </p>
 <p>
  ➕ Presentation &amp; coaching skills
 </p>
 <p>
  💡
  <strong>
   Why Avrioc?
  </strong>
 </p>
 <p>
  We&rsquo;re not just building products &mdash; we&rsquo;re building solutions that learn, adapt, and scale.
 </p>
 <p>
  Here, you&rsquo;ll get:
 </p>
 <p>
  🔹 Autonomy
 </p>
 <p>
  🔹 Innovation-driven culture
 </p>
 <p>
  🔹 Global impact
 </p>
 <p>
  🔹 A team that supports and grows with you
 </p>
</div>


Data Scientist

Cleveland Clinic Abu Dhabi

<div>
 <p>
  JOB SUMMARY
 </p>
 <p>
  The Data Scientist will extract and analyze large datasets from a range of heterogenous business applications, most
 </p>
 <p>
  importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and
 </p>
 <p>
  algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate
 </p>
 <p>
  predictive, machine learning and AI models based on requirements and communicate the results in an understandable
 </p>
 <p>
  manner, and once approved by the business, the algorithms and models will be deployed into the production
 </p>
 <p>
  environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  PRIMARY JOB DUTIES AND RESPONSIBILITIES:
 </p>
 <p>
  &middot; Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and
 </p>
 <p>
  success criteria for analytics initiatives
 </p>
 <p>
  &middot; Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis &middot; Perform feature engineering for optimization and dimensionalityreduction &middot; Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis) &middot; Perform Data Profiling &middot; Extract, process, clean, and validate quality datasets &middot; Assist data engineers in implementing data pipelines &middot; Conduct Experiment Design &middot; Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case &middot; Write general, reusable code for repeatable analysis &middot; Evaluate and tune the models using various performance and error measures, hyper parameter tuning and cross validation techniques &middot; Select the final model based on performance &middot; Document and present the model findings to the business by explaining the model assumptions and validation methodologies &middot; Deploy the model by integrating it with the EMR or other business applications / systems &middot; Monitor the model for data and concept drift and retrain or tune the model as required &middot; Build visual interfaces with &ldquo;what-if&rdquo; functionality for business user interaction.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ROLE LEVEL ACCOUNTABILITIES
 </p>
 <p>
  &middot; Adheres to CCAD&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
 </p>
 <p>
  <br/>
 </p>
 <p>
  In view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties
 </p>
 <p>
  as assigned and reporting relationships may vary.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ORGANIZATION-WIDE COMPETENCY ASSESSMENT REQUIREMENTS:
 </p>
 <p>
  All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including: Patient&rsquo;s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position. Customer Service Orientation includes attitude, behavior, interpersonal skill and problem solving that enable an employee to respond to internal and external customer needs and expectations in a positive manner. Adaptability including teamwork, flexibility needed to fulfill job responsibilities, adapting to changes in work environment and accepting supervisory feedback. Efficiency and Effectiveness includes quantity and quality of desired work, as well as organization skills necessary to perform successfully. Essential Job Requirements includes adherence to all relevant policies, procedures and guidelines affecting the work environment, as well as maintenance of required competencies and communication skills. Managerial Responsibilities includes overall accountability for assigned work group relative to operational goals, personnel requirements and budgetary constraints.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Education Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
 </p>
 <p>
  Experience 5+ years 3+ years
 </p>
 <p>
  Certification and
 </p>
 <p>
  Licensure
 </p>
 <p>
  Professional
 </p>
 <p>
  Membership
 </p>
 <p>
  Job Specific Skills and
 </p>
 <p>
  Abilities &middot; Excellent oral and written communication skills. &middot; Experience with Principal Component Analysis and Linear Discriminant analysis &middot; Experience with Visual Analytics tools &middot; Experience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier Analysis &middot; Experience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc. &middot; Experience with extracting data from database management systems &middot; Experience with transformation and cleaning of both structured and unstructured data &middot; Experience with Agile Software Development methodologies &middot; Experience with Software Engineering &middot; Experience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learning. Deep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, &middot; Healthcare experience is preferred
 </p>
 <p>
  random forest, regression , decision trees, and boosting. &middot; Experience with AI models, Tensorflow, Open AI, LLMs &middot; Experience with MLOPS, LLMOPS, deploying models into production &middot; Experience with User Interface (UI) development Experience with the following software: &middot; Cloud Platforms: Fabric, Azure, AWS, GCP &middot; Database Management Systems MS SQL Server, Azure Data Lake, Azure Synapse &middot; Data Wrangling: MS SSIS, Azure Data Factory &middot; Statistical Analysis Software: SAS, SPSS, Minitab &middot; Version Control: GitHub &middot; Platform: Databricks, Azure ML &middot; Scripting Language: Python / R and libraries (Pandas, NumPy, Seaborn, Matplotlib) &middot; Query Language: SQL &middot; Other Languages: Spark SQL &middot; AI &amp; ML Frameworks : TensorFLow, Keras , PyTorch , GANs, CNN, Caffe, Scikit-learn, Spark ML &middot; Deployment Software: Docker &middot; Visual Analytics: Power BI, Tableau, Minitab, Excel &middot; UI Tools: Shiny, Power Apps
 </p>
 <p>
 </p>
</div>


M42 Health

<div>
 <p>
  M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI &amp; Product Development
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.
  </li>
  <li>
   Translate complex scientific and regulatory requirements into scalable AI-driven solutions.
  </li>
  <li>
   Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.
  </li>
  <li>
   Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.
  </li>
  <li>
   Help grow the Digital EVS portfolio.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Strategy &amp; Analytics
  </strong>
 </p>
 <ul>
  <li>
   Lead the acquisition, curation, and harmonization of diverse environmental datasets.
  </li>
  <li>
   Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.
  </li>
  <li>
   Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.
  </li>
  <li>
   Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cross-Functional Collaboration &amp; Engagement
  </strong>
 </p>
 <ul>
  <li>
   Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.
  </li>
  <li>
   Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.
  </li>
  <li>
   Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.
  </li>
  <li>
   Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Management
  </strong>
 </p>
 <ul>
  <li>
   Design/collate Business requirements/documents.
  </li>
  <li>
   Define Project Scope and Objectives.
  </li>
  <li>
   Plan Data Acquisition and Preparation.
  </li>
  <li>
   Coordinate Model Development and Evaluation.
  </li>
  <li>
   Manage Stakeholder Communication.
  </li>
  <li>
   Ensure Compliance and Deployment Readiness.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Minimum Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.
  </li>
  <li>
   Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.
  </li>
  <li>
   Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).
  </li>
  <li>
   Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.
  </li>
  <li>
   Solid understanding of data governance, ethics, and regulatory compliance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.
  </li>
  <li>
   Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.
  </li>
  <li>
   Familiarity with UAE regulatory frameworks and international sustainability initiatives.
  </li>
  <li>
   Strong stakeholder management and science communication skills.
  </li>
 </ul>
</div>


Senior Environmental Data Scientist

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-4667
</div></div><div><div>Category</div>
<div>Digital &amp; Technology
</div></div><div><div>Asset : Name</div>
<div>Environmental Sciences
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.</div><div></div><div><br>
The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div><b>AI &amp; Product Development</b></div><ul><li>
Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.</li><li>
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.</li><li>
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.</li><li>
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.</li><li>
Help grow the Digital EVS portfolio</li></ul><div><b>
Data Strategy &amp; Analytics</b></div><ul><li>
Lead the acquisition, curation, and harmonization of diverse environmental datasets.</li><li>
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.</li><li>
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.</li><li>
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.</li></ul><div><b>
Cross-Functional Collaboration &amp; Engagement</b></div><ul><li>
Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.</li><li>
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.</li><li>
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.</li><li>
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.</li></ul><div><b>
Project Management</b></div><ul><li>
Design/collate Business requirements/documents</li><li>
Define Project Scope and Objectives</li><li>
Plan Data Acquisition and Preparation</li><li>
Coordinate Model Development and Evaluation</li><li>
Manage Stakeholder Communication</li><li>
Ensure Compliance and Deployment Readiness</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>Minimum Qualifications</b></div><ul><li>
Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.</li><li>
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.</li><li>
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).</li><li>
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.</li><li>
Solid understanding of data governance, ethics, and regulatory compliance.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.</li><li>
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.</li><li>
Familiarity with UAE regulatory frameworks and international sustainability initiatives.</li><li>
Strong stakeholder management and science communication skills.</li></ul></div></div></div></div><div></div>

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 <strong>
  Overview
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 M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to impactfully disrupt traditional healthcare models and positively impact lives globally.
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 Established in 2022, following the coming together of G42 Healthcare and Mubadala Health, M42 has more than 480 facilities in 26 countries and over 20,000 employees. M42 includes renowned healthcare providers including Cleveland Clinic Abu Dhabi, Danat Al Emarat, Diaverum, Imperial College London Diabetes Centre, Sheikh Sultan bin Zayed Hospital, and Moorfields Eye Hospital Abu Dhabi. As well as operating the Emirati Genome Programme, M42 runs Abu Dhabi BioBank and Abu Dhabi Health Data Services (ADHDS), a global tech-enabled healthcare company operating Malaffi.
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 The Organic Chemistry Scientist assists the Senior Scientist in solving complex problems in a scientific, technology or engineering domain and is primarily responsible for supporting the analytical testing requirements of the wastewater monitoring laboratory and interpreting scientific data of moderate to difficult complexity. The Organic Chemistry Scientist supervises work and performance of laboratory technicians and with their assistance checks and pre-approves the test results obtained from sample analysis in order to satisfy the needs of the project&rsquo;s Stakeholders.
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  Responsibilities
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 </strong>
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   Conducting advanced organic chemistry analyses using LCMSMS, GCMSMS, HRMS, and related systems.
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   Supervising laboratory technicians and approving analytical results.
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   Developing, optimizing, and validating test methods for wastewater monitoring.
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   Supporting regulatory compliance, audit readiness, and QA/QC standards.
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   Applying statistical tools to analyze data, identify root causes, and resolve issues.
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   Maintaining calibration, troubleshooting, and operation of chromatography and mass spectrometry systems.
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   Providing technical training and mentorship to laboratory personnel.
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  Qualifications
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   MSc in Analytical Chemistry with specialization in Organic Chemistry (or related discipline).
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   Minimum 2 years&rsquo; experience in a chemistry lab environment, ideally wastewater or water testing.
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   Proven expertise in advanced organic analyses (OCPs, PCBs, VOCs, SVOCs, PAHs, hormones, PPCPs, drugs).
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   Proficiency with sample preparation techniques (SPE, LLE, SPME, Headspace-trap, Thermal desorption).
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   Strong knowledge of QA/QC, ISO standards (17025, 9001, 14001), and LIMS systems (Labware).
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   Ability to supervise projects, mentor staff, and communicate technical data effectively.
  </li>
 </ul>
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Organic Chemistry Scientist

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