research associate ai data science with a focus on inventory optimization recommender systems specialist

University of Doha for Science & Technology

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 <br/>
 <br/>
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 <br/>
 <br/>
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Development of an Inventory Optimization Module
  </li>
  <li>
   Conduct research on safety stock management and reinforcement learning (RL) approaches.
  </li>
  <li>
   Prototype RL-driven inventory optimization algorithms.
  </li>
  <li>
   Integrate inventory optimization models with demand forecasting systems.
  </li>
  <li>
   Recommender System Development
  </li>
  <li>
   Develop context-aware recommender systems using knowledge graphs and session encoding techniques.
  </li>
  <li>
   Prototype and validate recommender algorithms for personalized recommendations.
  </li>
  <li>
   Integrate recommender models with inventory and forecasting systems.
  </li>
  <li>
   Microservices, MLOps &amp; Deployment
  </li>
  <li>
   Deploy RL optimizers and recommender systems as microservices.
  </li>
  <li>
   Build CI/CD pipelines for scalable and reliable deployment.
  </li>
  <li>
   Implement monitoring dashboards, drift detection, and performance alerts.
  </li>
  <li>
   Documentation, Training &amp; Academic Output
  </li>
  <li>
   Prepare technical documentation, API specifications, and system user guides.
  </li>
  <li>
   Contribute to case studies, final reports, and academic publications/patents.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Educational Background:
  </li>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
   </li>
   <li>
    Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.
   </li>
   <li>
    Technical Expertise:
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.
   </li>
   <li>
    Experience with simulation and A/B testing methodologies.
   </li>
   <li>
    Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.
   </li>
   <li>
    Proficiency in deploying ML models as microservices and applying MLOps best practices
   </li>
   <li>
    Programming Skills:
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Strong programming skills in languages such as Python or R.
   </li>
   <li>
    Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
   </li>
   <li>
    Analytical Skills/ Communication Skills:
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <li>
 </li>
 <ul>
  <li>
   Ability to design, prototype, and validate optimization and recommendation algorithms.
  </li>
  <li>
   Strong documentation and presentation skills for both technical and non-technical stakeholders.
  </li>
  <li>
   Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
  </li>
 </ul>
</div>


Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

University of Doha for Science and Technology

<div>Overview:
<p>
University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.</p><p>
With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.</p><p></p><p><br>
We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.</p>
Responsibilities:<p></p><p><b><br>
Key Responsibilities:</b></p><p><b>
1. Development of an Inventory Optimization Module</b></p><ul><li>
Conduct research on safety stock management and reinforcement learning (RL) approaches.</li><li>
Prototype RL-driven inventory optimization algorithms.</li><li>
Integrate inventory optimization models with demand forecasting systems.</li></ul><p><b>
2. Recommender System Development</b></p><ul><li>
Develop context-aware recommender systems using knowledge graphs and session encoding techniques.</li></ul><ul><li>
Prototype and validate recommender algorithms for personalized recommendations.</li><li>
Integrate recommender models with inventory and forecasting systems.</li></ul><p><b>
3. Microservices, MLOps &amp; Deployment</b></p><ul><li>
Deploy RL optimizers and recommender systems as microservices.</li><li>
Build CI/CD pipelines for scalable and reliable deployment.</li><li>
Implement monitoring dashboards, drift detection, and performance alerts.</li></ul><p><b>
4. Documentation, Training &amp; Academic Output</b></p><ul><li>
Prepare technical documentation, API specifications, and system user guides.</li><li>
Contribute to case studies, final reports, and academic publications/patents.</li></ul>
Qualifications:
<p><b>
Qualifications:</b></p><ul><li><b>
Educational Background:</b></li><li><div><ul><li>
Ph.D. in Computer Science, Operations Research, AI, or a related field, OR</li><li>
Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.</li></ul></div></li><li><b>
Technical Expertise:</b></li><li><div><ul><li>
Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.</li><li>
Experience with simulation and A/B testing methodologies.</li><li>
Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.</li><li>
Proficiency in deploying ML models as microservices and applying MLOps best practices</li></ul></div></li><li><b>
Programming Skills:
</b></li><li><div><ul><li>Strong programming skills in languages such as Python or R.</li><li>
Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.</li></ul></div></li><li><b>
Analytical Skills/ Communication Skills:</b></li><li><div><ul><li>
Ability to design, prototype, and validate optimization and recommendation algorithms.</li><li>
Strong documentation and presentation skills for both technical and non-technical stakeholders.</li></ul></div></li><li><b>
Team Collaboration:</b> Proven experience working in collaborative team environments and managing multiple tasks effectively.</li></ul></div>

Imec

<div></div><div><div><div><div><div>Research &amp; development - Doha | More than two weeks ago</div><div><div>
Join imec's Falcon Research Center in Qatar in a visionary technical leadership role where you'll architect next-generation compute platforms for HPC and Mobile applications while simultaneously building the AI-driven tools, frameworks, and methodologies that enable unprecedented design productivity and innovation.
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
<p>Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society.<br>
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning, joining us as Principal SoC/SiP Architect (AI-Assisted Design &amp; Architecture Enablement)</p>
<p>What you will do</p>
<p>Join imec's Falcon Research Center in Qatar as Principal SoC/SiP Architect, pioneering the convergence of artificial intelligence and semiconductor design. You will lead the transformation of how RISC-V based System-on-Chip and System-in-Package platforms are conceived, designed, and optimized by developing and deploying AI-assisted methodologies that revolutionize architecture exploration, design space optimization, and system validation.<br>
<br>
In this visionary technical leadership role, you'll architect next-generation compute platforms for HPC and Mobile applications while simultaneously building the AI-driven tools, frameworks, and methodologies that enable unprecedented design productivity and innovation. Your work will establish a new paradigm where machine learning accelerates every phase of the SoC/SiP lifecycle&mdash;from early architecture exploration through physical implementation and validation.</p><ul><li><b>
AI-Assisted Architecture &amp; Design Innovation</b><br>
<ul><li>
Pioneer AI-driven methodologies for SoC/SiP architecture design space exploration and optimization</li><li>
Develop machine learning models for:</li><li>
Automated architecture generation and configuration optimization</li><li>
Performance prediction across workloads and design points</li><li>
Power/performance/area (PPA) optimization using reinforcement learning</li><li>
Floorplanning and chiplet placement optimization for SiP designs</li><li>
Workload characterization and hardware-software co-optimization</li><li>
Create surrogate models enabling rapid evaluation of thousands of architecture variants</li><li>
Build AI-assisted frameworks for design validation, verification planning, and bug prediction</li></ul></li><li><b>
SoC/SiP Architecture Leadership</b><br>
<ul><li>
Define reference architectures for RISC-V based SoC and SiP platforms targeting HPC and mobile domains</li><li>
Architect complete systems including:</li><li>
Multi-core CPU subsystems with AI-optimized configurations</li><li>
Memory hierarchies optimised through ML-driven exploration</li><li>
NoC designs generated and optimized using graph neural networks</li><li>
Heterogeneous compute platforms (CPU+GPU+accelerators) with AI-assisted integration</li></ul></li><li><b>
Design Enablement &amp; Methodology Development</b><br>
<ul><li>
Build comprehensive AI-assisted design enablement infrastructure and toolchains</li><li>
Develop automated flows for RTL generation, synthesis optimization, and timing closure using ML</li><li>
Create intelligent debugging and root cause analysis tools leveraging anomaly detection</li><li>
Establish data pipelines capturing design metrics, simulation results, and performance data</li></ul></li><li><b>
Technical Leadership &amp; Team Development</b><br>
<ul><li>
Lead cross-functional initiatives integrating AI/ML researchers, SoC architects, and chip designers</li><li>
Mentor architects and engineers on AI-assisted design methodologies and tools</li><li>
Establish best practices for trustworthy AI in critical design decisions</li><li>
Define metrics and validation frameworks ensuring AI recommendations are reliable and explainable</li></ul></li><li><b>
Research &amp; Industry Leadership</b><br>
<ul><li>
Publish groundbreaking research at premier venues (ISSCC, DAC, ICCAD, ISCA, NeurIPS)</li><li>
Present at industry conferences on AI-assisted design methodologies (Hot Chips, Design Automation Conference)</li><li>
Contribute to open-source ML frameworks for hardware design (e.g., CircuitNet, MLPerf)</li></ul></li><li><b>
Strategic Program Development</b><br>
<ul><li>
Define roadmap for AI-assisted design capabilities at Falcon Research Center</li><li>
Identify opportunities where AI can provide 10x improvements in design productivity or quality</li><li>
Evaluate and integrate emerging AI technologies (foundation models, multi-agent systems, neural synthesis)</li></ul></li></ul>
<p>You will be part of imec, and that means&hellip;</p>
<p>
You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will build a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.</p>
<p>
Who you are</p>
<p><b>Required skills</b></p><ul><li>
PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field with 12+ years of experience, or MSc with 15+ years</li><li>
Proven track record of successful SoC tape-outs with deep architecture experience</li><li>
Strong expertise in both traditional SoC/SiP architecture AND modern AI/ML techniques</li><li>
Deep knowledge of RISC-V ISA, SoC architecture fundamentals:</li><li>
Multi-core systems, cache coherence, memory hierarchies</li><li>
Interconnect fabrics, NoC architectures</li><li>
Heterogeneous compute integration</li><li>
Advanced packaging and chiplet technologies</li><li>
Demonstrated experience applying AI/ML to hardware design problems:</li><li>
Architecture design space exploration</li><li>
Performance modeling and prediction</li><li>
Optimization algorithms (RL, Bayesian optimization, genetic algorithms)</li><li>
Graph neural networks for hardware representation</li><li>
Surrogate modeling for rapid evaluation</li><li>
Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX)</li><li>
Experience with architecture modeling, simulation, and performance analysis tools</li><li>
Excellent leadership and communication skills with ability to bridge hardware and AI communities</li><li>
Vision for transforming semiconductor design through AI enablement</li></ul><p><i>
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</i></p></div></div></div></div></div></div><p></p>

Principal SoC/SiP Architect (AI-Assisted Design & Architecture Enablement)

<div></div><div><div><div><div><div>Research &amp; development - Doha | More than two weeks ago</div><div><div>
Join imec's Falcon Research Center in Qatar as a Senior Researcher and pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms.
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
<p>Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society.<br>
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning, joining us as Senior Architect &ndash; Future Compute Platform!</p>
<p>What you will do</p>
<p>Join imec's Falcon Research Center in Qatar as a Senior Researcher at the intersection of artificial intelligence and computer architecture. You will pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms, working on cutting-edge RISC-V based architectures for HPC and Mobile SoC applications.<br>
<br>
In this highly collaborative role, you'll bridge the worlds of machine learning and chip design, developing AI-assisted tools and methodologies that accelerate architecture exploration, optimize design decisions, and validate performance. Working alongside computer architects, chip designers, and software engineers, you'll translate research innovations into practical tools and frameworks that push the boundaries of what's possible in compute platform design.</p><ul><li><b>
Research &amp; Technical Leadership</b><br>
<ul><li>
Lead research initiatives applying AI/ML to computer architecture design space exploration</li><li>
Develop and implement AI-assisted methodologies for architecture optimization, performance prediction, and design validation</li><li>
Define technical direction for projects in collaboration with Compute Research and AI leadership</li><li>
Guide the team in achieving key milestones of the Compute Research roadmap</li></ul></li><li><b>
Hands-On Development &amp; Implementation</b><br>
<ul><li>
Design and implement AI models for architecture performance prediction, workload characterization, and design space exploration</li><li>
Develop surrogate models and optimization frameworks for rapid architecture evaluation</li><li>
Build tools and frameworks enabling heterogeneous compute platform design and validation</li><li>
Contribute to the reference architecture implementation, integrating AI-assisted design flows</li><li>
Take proof-of-concepts through to working prototypes and demonstration systems</li></ul></li><li><b>
Collaboration &amp; Mentorship</b><br>
<ul><li>
Work in a multidisciplinary team spanning ML researchers, computer architects, and chip designers</li><li>
Provide technical guidance and mentorship to team members on AI/ML methodologies</li><li>
Foster knowledge exchange between AI and hardware design domains</li><li>
Lead by example through hands-on contributions and collaborative problem-solving</li></ul></li><li><b>
Scientific Contribution</b><br>
<ul><li>
Publish research findings in top-tier ML and computer architecture venues</li><li>
Present work at international conferences and technical workshops</li><li>
Contribute to open-source tools and frameworks in the AI-assisted design community</li><li>
Stay current with state-of-the-art in both AI/ML and computer architecture research</li></ul></li></ul>
<p>You will be part of imec, and that means&hellip;</p>
<p>
You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will build a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.</p>
<p>Who you are</p>
<p><b>Required skills</b></p><ul><li>
PhD in Computer Science, Electrical Engineering, Machine Learning, or related STEM field (or MSc with 8+ years equivalent experience)</li><li>
5+ years of experience in applied research and/or development of AI/ML applications</li><li>
Deep expertise in one or more of the following:</li><li>
Reinforcement Learning for design optimization</li><li>
Bayesian Optimization and hyperparameter tuning</li><li>
Graph Neural Networks for hardware representation</li><li>
Surrogate modeling and transfer learning</li><li>
Agentic AI systems and multi-agent frameworks</li><li>
Strong scientific programming skills with demonstrated ability to write clean, maintainable, production-quality code</li><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)</li><li>
Experience with version control (Git), code review practices, and collaborative development workflows</li><li>
Excellent documentation skills and commitment to reproducible research</li><li>
Proven ability to work effectively in multidisciplinary teams</li><li>
Strong communication skills in English, both written and verbal</li><li>
Familiarity or experience with R&amp;D of SoC Architectures and ASICs Design is a big plus.</li></ul><p><b><br>
Preferred</b></p><ul><li>
Experience leading ML teams in research or development environments</li><li>
Familiarity with computer architecture concepts, design space exploration, or performance modeling</li><li>
Background in SoC architecture design, ASIC development, or hardware-software co-design</li><li>
Knowledge of RISC-V ISA or other processor architectures</li><li>
Experience with:</li><li>
Architecture simulators (gem5, Sniper, or similar)</li><li>
Hardware description languages (Verilog, Chisel)</li><li>
EDA tools and ASIC design flows</li><li>
High-performance computing or parallel computing</li><li>
Track record of publications at premier venues (NeurIPS, ICML, ICLR, ISCA, MICRO, DAC, ICCAD)</li><li>
Contributions to open-source ML or hardware design tools</li><li>
Experience working in international, multicultural research environments</li></ul><p><i>
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</i></p></div></div></div></div></div></div><p></p>

Senior Architect – Future Compute Platform

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master's degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 <br/>
 <br/>
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help raise talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 <br/>
 <br/>
 The Institutional Excellence Directorate invites applications for the position of Data Analysis and Research Specialist. Reporting to the Manager, Institutional Research, the Data Analysis and Research Specialist should be a proven leader with the skills and expertise necessary to support the Institutional Excellence Directorate in fully implementing the University&rsquo;s mission and vision.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 The successful candidate will be responsible for ensuring the demonstration of institutional effectiveness through ongoing, integrated and institution-wide research-based activities by conducting data analysis on performance of individual training providers comparative across the entity.
 <br/>
 <br/>
 The successful candidate will be responsible to assist in interpreting data, analyzing results using statistical techniques, and providing analytical reports to support strategic initiatives and decision-making.
 <br/>
 <br/>
 The successful candidate will contribute to the preparation of timely and accurate reports to meet the section requirements, policies and standards. S/He will also produce regular and annual reports on Institutional Effectiveness trends and areas for improvement based on data analysis.
 <br/>
 <br/>
 The successful candidate will adhere to the set policies and procedures including conflict of interest, risk, complaints, data collection and management systems (including confidentiality) and report any breaches as necessary.
 <br/>
 <br/>
 The successful candidate will conduct regular and ad hoc research and studies on institutional-impacting issues to support ongoing assessment toward improving Institutional effectiveness including administrative programs, academic programs, student success and student services.
 <br/>
 <br/>
 The successful candidate will assist in developing and implementing database, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
 <br/>
 <br/>
 The successful candidate will assist in preparing institutional annual reports and publications and provide technical expertise on data storage structures, data mining, and data cleansing.
 <br/>
 <br/>
 The successful candidate will maintain confidentiality compliance and follow all internal and governmental regulations regarding data management.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Education and Certifications:
  <br/>
  <br/>
 </strong>
 Bachelor's Degree in Data Science and Analysis, Statistics or Software Engineering or another related field.
 <br/>
 <br/>
 Master's Degree in a related field is preferred.
 <br/>
 <br/>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 At least 5 years relevant to duties and responsibilities at the similar level is preferred.
 <br/>
 <br/>
 <strong>
  Language:
  <br/>
  <br/>
 </strong>
 Fluency in written and spoken English language is required.
 <br/>
 <br/>
 Fluency in written and spoken Arabic language is preferred.
</div>


Data Analysis And Research Specialist

<div>Overview:
<p>
University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master's degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.</p><p><br>
With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help raise talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.</p><p></p><p><br>
The Institutional Excellence Directorate invites applications for the position of Data Analysis and Research Specialist. Reporting to the Manager, Institutional Research, the Data Analysis and Research Specialist should be a proven leader with the skills and expertise necessary to support the Institutional Excellence Directorate in fully implementing the University&rsquo;s mission and vision.</p>
Responsibilities:
<p>
The successful candidate will be responsible for ensuring the demonstration of institutional effectiveness through ongoing, integrated and institution-wide research-based activities by conducting data analysis on performance of individual training providers comparative across the entity.</p><p>
The successful candidate will be responsible to assist in interpreting data, analyzing results using statistical techniques, and providing analytical reports to support strategic initiatives and decision-making.</p><p>
The successful candidate will contribute to the preparation of timely and accurate reports to meet the section requirements, policies and standards. S/He will also produce regular and annual reports on Institutional Effectiveness trends and areas for improvement based on data analysis.</p><p></p><p><br>
The successful candidate will adhere to the set policies and procedures including conflict of interest, risk, complaints, data collection and management systems (including confidentiality) and report any breaches as necessary.</p><p></p><p><br>
The successful candidate will conduct regular and ad hoc research and studies on institutional-impacting issues to support ongoing assessment toward improving Institutional effectiveness including administrative programs, academic programs, student success and student services.</p><p></p><p><br>
The successful candidate will assist in developing and implementing database, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.</p><p></p><p><br>
The successful candidate will assist in preparing institutional annual reports and publications and provide technical expertise on data storage structures, data mining, and data cleansing.</p><p></p><p><br>
The successful candidate will maintain confidentiality compliance and follow all internal and governmental regulations regarding data management.</p>
Qualifications:
<p><b>
Education and Certifications:</b></p><p></p><p><br>
Bachelor's Degree in Data Science and Analysis, Statistics or Software Engineering or another related field.</p><p>
Master's Degree in a related field is preferred.</p><p></p><p><b><br>
Experience:</b></p><p>
At least 5 years relevant to duties and responsibilities at the similar level is preferred.</p><p></p><p><b><br>
Language:</b></p><p>
Fluency in written and spoken English language is required.</p><p>
Fluency in written and spoken Arabic language is preferred.</p></div>

Hamad Medical Corporation

<div>
 <p>
  <strong>
   Background
  </strong>
 </p>
 <p>
  Hamad Medical Corporation (HMC) occupies a central position within Qatar&rsquo;s rapidly expanding biomedical and clinical research ecosystem. As the nation&rsquo;s leading public healthcare provider, HMC carries a dual mandate: to deliver exemplary patient care and to advance scientific innovation that shapes the future of health in Qatar. Over the past decade, HMC has cultivated one of the region&rsquo;s most comprehensive research environments, an ecosystem intentionally designed to promote discovery, foster collaboration, and accelerate the translation of scientific advances into clinical practice.
 </p>
 <p>
  At the core of this environment is the Medical Research Center (MRC), which provides institutional research governance, promotes adherence to ethical standards, and supports skill development across all HMC facilities. Through its dedicated research units, biostatistical support structures, clinical-trial frameworks, and internal funding programs, the MRC empowers investigators, physicians, nurses, scientists, and allied health professionals to conduct rigorous, patient-centered research that addresses national and global health priorities.
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  The Director provides strategic, scientific, and operational leadership for a fully integrated cancer research enterprise encompassing basic discovery, translational science, early-phase drug development, clinical trials, population sciences, prevention research, and data-driven oncology. This role defines long-term vision, builds world-class programs aligned with Qatar&rsquo;s national health strategy, secures diversified funding, and ensures research excellence, safety, and compliance. The Director also serves as a scientific ambassador for HMC and leads recruitment, mentorship, and the development of a high-performance research culture.
 </p>
 <p>
  <strong>
   Key responsibilities:-
  </strong>
 </p>
 <ul>
  <li>
   Develop and implement a 5&ndash;10-year cancer research strategy with measurable KPIs
  </li>
  <li>
   Develop GMP/GTP-compliant cell-therapy production, bioinformatics, AI, biostatistics, and data platforms.
  </li>
  <li>
   Implement cybersecurity, data governance, and FAIR data standards; support secure data-sharing models
  </li>
  <li>
   Obtain/maintain relevant accreditations (e.g., FACT).
  </li>
  <li>
   Establish incident-reporting systems, CAPA frameworks, and comprehensive research-audit programs
  </li>
  <li>
   Formalize collaborations with global cancer centers; develop joint programs, fellowships, and multicenter clinical trials.
  </li>
  <li>
   Advance commercialization pathways, including technology transfer, IP strategy, and co-development with industry
  </li>
  <li>
   Establish graduate programs, postdoctoral tracks, and clinician-scientist pathways.
  </li>
  <li>
   Lead seminars, workshops, and training programs in translational research, clinical trials, and data science
  </li>
  <li>
   Strengthen cancer screening, risk stratification, hereditary cancer services, and survivorship programs.
  </li>
  <li>
   Evaluate outcomes across Qatar&rsquo;s diverse population
  </li>
  <li>
   Position Qatar as a regional hub for oncology research; support regional registries, guidelines, and capacity-building efforts
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   Minimum 10 years of progressive leadership in cancer research.
  </li>
  <li>
   Record of developing programs, securing competitive funding, and producing high-impact outputs.
  </li>
  <li>
   Experience overseeing clinical research and/or translational science pipelines.
  </li>
  <li>
   Demonstrated capacity to build teams and mentor diverse talent.
  </li>
  <li>
   Experience supervising graduate students and fostering a rigorous academic environment.
  </li>
  <li>
   Participation in research governance committees (IRB, MRC, grant review panels
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Clinical fellowship (for MDs) or postdoctoral training (for PhDs) with strong translational credentials.
  </li>
  <li>
   Training in clinical research, biostatistics, data science, or health leadership (e.g., MPH, MSc Clinical Trials, MBA).
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Clinical fellowship (for MDs) or postdoctoral training (for PhDs) with strong translational credentials.
  </li>
  <li>
   Training in clinical research, biostatistics, data science, or health leadership (e.g., MPH, MSc Clinical Trials, MBA).
  </li>
 </ul>
 <p>
  <strong>
   Job Location: Doha Qatar
  </strong>
 </p>
 <p>
 </p>
</div>


Executive Director Cancer Research Institute

Explore 2747+ Research associate ai data science with a focus on inventory optimization recommender systems specialist in Qatar Moph License Jobs In Charge Jobs In Doha this January. Find roles across top companies and apply now to boost your career.