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senior applied scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Sr. 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 To qualify, you must have
 
 
 <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 8 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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Elios Talent

<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

<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>
 
 Overview
 
 
 
 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 To qualify, you must have
 
 
 <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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 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.
 
 
 <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 Core42. 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 Core42for 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.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 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.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <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 10 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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Principal Applied 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>
 <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.
 
 
 </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

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a Lead Data Scientist to champion the use of AI and analytics within the organization. You will provide technical leadership, mentor a team of data scientists, and define the strategic direction for high-impact analytics projects.Responsibilities<ul><li>Lead and manage data science projects from conception to deployment, ensuring alignment with business goals.</li><li>Mentor and guide junior and intermediate data scientists, fostering a culture of technical excellence and innovation.</li><li>Interface with senior stakeholders to identify high-value use cases and define the scope of analytics initiatives.</li><li>Oversee the selection of appropriate methodologies and algorithms for complex projects.</li><li>Review code and models developed by the team to ensure quality and robustness.</li><li>Drive the adoption of best practices in data science, including reproducibility and documentation.</li><li>Stay abreast of the latest industry trends and technologies in AI/ML and assess their potential impact on the business.</li></ul>Requirements<ul><li>Experience: 5&ndash;15+ Years.</li><li>Extensive experience in developing and deploying machine learning solutions in a corporate environment.</li><li>Proven leadership experience, with the ability to manage teams and projects effectively.</li><li>Deep theoretical and practical knowledge of machine learning and statistics.</li><li>Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to executive leadership.</li><li>Experience with project management methodologies (Agile, Scrum).</li></ul>Bonus<ul><li>Experience leading data science teams in the Oil &amp; Gas industry.</li><li>Track record of publishing technical papers or speaking at industry conferences.</li><li>Strong business acumen and understanding of energy market dynamics.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Lead Data Scientist

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