Economic Researcher Jobs in Saudi

<h3><strong>About JoVE</strong></h3><p>JoVE is a world-leading producer and provider of video solutions dedicated to improving scientific research and education. Serving millions of scientists, educators, and students, JoVE's institutional clients include over 1,000 universities, colleges, and biopharma companies globally, such as <strong>Harvard</strong>, <strong>MIT</strong>, <strong>Yale</strong>, and <strong>Stanford</strong>. With offices in the USA, UK, Australia, and India, JoVE services clients in over 60 countries.</p><h3><strong>Role Overview</strong></h3><p>JoVE is seeking a <strong>Sales Account Executive</strong> for the <strong>Edtech GCC Market</strong>, based in <strong>Saudi Arabia</strong>. This full-time position focuses on driving the adoption of JoVE products within universities and colleges across the Middle East region. The role involves managing the full sales cycle and contributing to the company's growth.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Manage the complete sales cycle, from prospecting to closing, building on existing presence and driving growth across the Middle East.</li><li>Develop and execute a comprehensive territory sales plan.</li><li>Generate pipeline and advance opportunities through the sales cycle to achieve quarterly sales targets.</li><li>Conduct daily proactive outreach and schedule high-quality meetings and product demonstrations.</li><li>Generate and qualify new business opportunities.</li><li>Present JoVE products, both online and in-person, to researchers, teaching faculty, and academic librarians.</li><li>Utilize industry trends and market insights to formulate actionable account strategies that enhance sales performance.</li><li>Collaborate with team members to meet sales targets, contribute to team projects, and support campaigns.</li><li>Participate in tradeshows and other marketing activities as required.</li></ul><h3><strong>Candidate Profile</strong></h3><p>The ideal candidate is a dedicated sales professional with a proven track record of achieving results. This role requires an individual who is driven to succeed and contribute to the company's expansion within the Edtech sector.</p><h3><strong>Experience and Compensation</strong></h3><ul><li>A minimum of <strong>3 years</strong> of relevant sales experience is required.</li><li>This position offers a competitive compensation package, including unlimited commissions.</li></ul><h3><strong>Application Information</strong></h3><p>Candidates interested in this role are invited to submit their application.</p>

About the Role<br>The Research User Computing Platforms Lead provides hands-on technical leadership for KAUST’s Linux scientific workstation platform, with responsibility for its architecture, provisioning, configuration, automation, security, and lifecycle management. The role ensures that high-performance Linux workstations and remote workstation services effectively support faculty, researchers, and students across research and teaching activities. While the primary focus is Linux, the role also supervises and provides technical direction to Windows and mac OS engineers supporting the wider end-user computing fleet, ensuring alignment, consistency, and reliable service delivery across platforms.<br>Responsibilities<br>Set the architecture and technical direction for KAUST’s Linux scientific workstation fleet, including configuration management, provisioning, inventory, patching, access control, security, and lifecycle management. Establish infrastructure-as-code, Git Ops, automation, and engineering standards for the Linux platform team, and provide technical direction for the Windows and mac OS endpoint platforms supported by the team. Lead and document build-vs-buy and tooling decisions for provisioning, configuration management, secrets management, observability, and fleet operations, including rationale, risks, and tradeoffs. Own the design and continuous improvement of physical and remote scientific workstation platforms, ensuring secure, high-performance access for faculty, researchers, students, and teaching users. Oversee platform operations, including bare-metal and virtual provisioning, patch orchestration, inventory, drift detection, observability, reliability, and service continuity for active research users. Own the security and compliance posture of the workstation fleet, including host hardening, secrets management, audit logging, compliance baselines, and alignment with frameworks such as NIST 800-171 and CIS Benchmarks. Define hardware standards, refresh cycles, model validation, driver compatibility, firmware and BIOS automation, and lifecycle plans while balancing research priorities, budget constraints, and user disruption. Lead, mentor, supervise, and develop the Linux workstation platform team, including Windows and mac OS engineers, ensuring clear roles, objectives, performance expectations, and shared engineering practices. Serve as the senior technical escalation point for complex platform, provisioning, access-control, hardware, and cross-platform endpoint issues. Work directly with faculty, researchers, students, vendors, and internal IT teams to understand requirements, manage expectations, and translate research and teaching needs into sustainable platform capabilities. Partner with network, security, IAM, storage, and advanced computing teams to deliver integrated, secure, and compliant platform services. Provide regular updates and recommendations to senior IT leadership on platform direction, risks, lifecycle planning, investment needs, and service improvements. Perform other applicable tasks and duties assigned within the realm of the employee’s knowledge, skills, and abilities in the field of the position.<br>Qualifications<br>Essential: Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. Preferred: Master’s degree in a relevant technical or management discipline. Preferred certifications: Red Hat Certified Engineer (RHCE), Linux Professional Institute Certification (LPIC), Puppet Certified Professional or equivalent configuration-management certification. Preferred certifications: Networking or security certification relevant to NAC/802.1X, such as CCNA or Aruba certification; ITIL Foundation or higher; security certifications such as CISSP, CISM, or Comp TIA Security+.<br>Required Skills<br>Extensive experience in Linux systems, infrastructure, endpoint engineering, or platform engineering, with a strong record of owning systems at scale. Hands-on production experience with declarative configuration management, preferably Puppet or Ansible, and a demonstrated infrastructure-as-code and Git Ops mindset using Git workflows, code review, and CI/CD for infrastructure. Experience managing large Linux endpoints or workstation fleets, ideally 500+ endpoints, including Ubuntu and Rocky Linux in enterprise, research, academic, or scientific computing environments. Experience with network-based provisioning, patch management, endpoint security, observability, hardware lifecycle management, firmware/BIOS automation, and security/compliance baselines. Working knowledge of network access control, including 802.1X, RADIUS, certificate-based authentication, endpoint supplicant configuration, and provisioning or break-glass scenarios. Evidence of technical leadership, including setting architecture, making consequential tradeoffs, mentoring engineers, improving engineering practices, and supporting hiring or team development. Experience working directly with faculty, researchers, students, technical teams, vendors, and leadership to gather requirements, manage expectations, and balance competing priorities. Experience supporting high-performance or GPU-enabled scientific computing environments, including NVIDIA/CUDA, performance tuning, and workload-specific desktop requirements.

<div dir="rtl"><h3 >نبذة عن الدور</h3> <p >يبحث مجمع محمد احمد عشيري الطبي عن <strong >طبيب مختبرات</strong> للانضمام إلى فريقه في القنفذة، مكة المكرمة. يركز هذا الدور على تخطيط وتنفيذ مشاريع التجارب المختبرية والسريرية، مع ضمان الالتزام الصارم بالبروتوكولات والأهداف العامة للمختبرات. تتطلب الوظيفة العمل بدوام كامل وتناسب المرشحين ذوي الخبرة الحديثة.</p> <h3 >المهام والمسؤوليات الرئيسية</h3> <ul > <li >التنسيق مع الباحثين لتخطيط التجارب المخبرية والسريرية، وتحديد أهداف الاختبارات والمعايير، وبروتوكولات التجارب وغيرها من معاملات التصميم.</li> <li >إدارة عمليات المختبرات الطبية، بما في ذلك رعاية المرضى وتخصيص الموارد بكفاءة.</li> <li >تسجيل بيانات الاختبارات المعملية والتجارب العلاجية بدقة، وضمان توثيق النتائج، وإعداد الوثائق التنظيمية المطلوبة والدراسة النهائية.</li> <li >ضمان الالتزام ببروتوكولات المختبرات والعلاجات التجريبية، واتباع سياسات وإجراءات الصحة والسلامة والبيئة والنظافة الصحية.</li> <li >إعداد وحفظ الوثائق والتقارير الطبية المتعلقة بالمختبرات في قاعدة البيانات المخصصة وفقاً للسياسات والإجراءات المعمول بها.</li> </ul> <h3 >المؤهلات والخبرات</h3> <ul > <li >خبرة عملية تتراوح من <strong >0 إلى 1 سنة</strong> في مجال المختبرات الطبية أو مجال ذي صلة.</li> <li >فهم قوي لمبادئ التجارب المختبرية والسريرية وبروتوكولاتها.</li> <li >القدرة على العمل ضمن بيئة طبية منظمة والالتزام بالمعايير المهنية.</li> </ul> <h3 >المهارات والكفاءات</h3> <ul > <li >مهارات ممتازة في التخطيط والتنظيم وإدارة المشاريع.</li> <li >دقة عالية في تسجيل البيانات وتوثيق النتائج.</li> <li >الالتزام بمعايير الجودة والسلامة المهنية والبيئية.</li> <li >مهارات تواصل فعالة للتعاون مع الباحثين والفرق الطبية.</li> </ul> <h3 >بيئة العمل</h3> <p >يعمل طبيب المختبرات ضمن مجمع محمد احمد عشيري الطبي في مدينة القنفذة، مكة المكرمة. يتطلب الدور التزاماً بالعمل بدوام كامل في بيئة مختبرية تتطلب الدقة والالتزام بالبروتوكولات الطبية الصارمة لضمان جودة النتائج وسلامة المرضى.</p> <h3 >معلومات إضافية</h3> <p >هذه فرصة للمرشحين الطموحين لبدء مسيرتهم المهنية في مجال المختبرات الطبية ضمن بيئة داعمة. الراتب غير معلن وسيتم تحديده بناءً على المؤهلات والخبرة خلال عملية التوظيف.</p></div>

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Science Community Lead based in Saudi Arabia.<br><br>This role is focused on building and nurturing a global community of scientists, researchers, and biotech enthusiasts within an innovative decentralized science ecosystem. You will be responsible for creating engaging spaces where scientific collaboration, discussion, and discovery can thrive, particularly across Discord and other online platforms. The position blends community building, science communication, and event hosting, with a strong emphasis on fostering meaningful connections between researchers and emerging voices in biotech. You will design and manage community programs that encourage participation, knowledge sharing, and collaboration across disciplines such as longevity, brain health, and biotech innovation. This is a highly interactive and creative role where science meets community engagement at scale. It is ideal for someone passionate about life sciences who enjoys connecting people and shaping online scientific ecosystems.<br><br>Accountabilities<br><br>Build, manage, and grow online science communities, primarily on Discord, including channel structure, onboarding flows, bots, and engagement systems. Host and facilitate community events such as AMAs, journal clubs, voice discussions, and live online sessions. Develop and execute community programming that encourages participation, highlights member research, and fosters collaboration. Identify and connect researchers, scientists, and emerging voices to encourage collaboration and knowledge exchange. Moderate discussions to maintain a welcoming, inclusive, and high-quality community environment. Track engagement metrics and experiment with new formats and initiatives to improve community health and participation.<br><br>Requirements<br><br>Bachelor’s or Master’s degree in biology, biochemistry, biotechnology, or a related scientific field. Strong familiarity with online communities, particularly Discord, Reddit, and/or X (Twitter), with prior moderation experience preferred. Excellent written communication skills with a warm, accessible, and engaging tone. Comfort hosting live events, voice chats, and interactive community sessions. Strong organizational skills and ability to manage multiple initiatives simultaneously. Proactive mindset with a willingness to experiment, iterate, and improve community engagement strategies. Genuine interest in biotechnology, life sciences, and scientific research communities.<br><br>Benefits<br><br>Fully remote work with flexibility from anywhere. Opportunity to shape and grow a global science community from the ground up. High ownership role with space to define and evolve community strategy. Competitive compensation package. Direct exposure to leading researchers and innovators in biotech and decentralized science. Opportunity to work at the intersection of science, technology, and community building. Creative and mission-driven environment.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are orchestrating the best high-performing team, and building it from the ground up in Saudi Arabia! This role is part of Yuno's Graduate Program, designed for ambitious fresh graduates looking for their first full-time opportunity. As a Junior Commercial Associate, you'll join our Commercial team, getting hands-on exposure across sales, partnerships, and relationship management as we build Yuno's presence in Saudi Arabia with room to grow into whichever area you're strongest in. This is a full-time position and a genuine first step into a commercial career at a global fintech.</p><p>Your contribution will be</p><ul><li>Prospect and qualify new leads across the Saudi market, supporting our sales pipeline.</li><li>Support outreach and relationship-building with potential partners, payment methods, and acquirers.</li><li>Help manage communications and follow-ups with existing and prospective merchant clients.</li><li>Maintain up-to-date CRM records and pipeline data across sales, partnerships, and accounts.</li><li>Prepare materials, decks, and reports to support the regional commercial strategy.</li><li>Help shape how Yuno's commercial presence grows in the Saudi market.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Fluent in Arabic and English.</li><li>Recent graduate (or graduating before the start date), in Business, Economics, Communications, or a related field, and able to work full-time.</li><li>Strong interpersonal and communication skills, with a proactive, relationship-driven attitude.</li><li>Comfortable working with spreadsheets and CRM-style tools.</li><li>Genuine interest in fintech, payments, sales, or partnerships.</li><li>Previous internship experience in sales, partnerships, business development, or account management.</li><li>Familiarity with the payments or fintech ecosystem.</li><li>Experience with CRM tools (e.g., HubSpot, Salesforce).</li><li>Knowledge of the Saudi or broader GCC business landscape.</li></ul><p></p></section>

About the job<br><br>JoVE is the world- leading producer and provider of video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as Harvard, MIT, Yale, and Stanford. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.<br><br>The Role<br><br>We are looking for dedicated sales professionals to drive the adoption of JoVE products at universities and colleges. An ideal candidate is a result-oriented achiever and strives to succeed and grow with the company. If you're eager to advance your career in sales and grow with a dynamic team, this is the perfect opportunity for you.<br><br>Responsibilities<br><br>Own the full sales cycle, from prospecting to close, building on our strong existing presence and driving growth across the Middle East region. Meet or exceed sales goals. Craft your territory sales plan and execute on that plan. Drive pipeline generation and rigorously progress opportunities through the sales cycle to achieve quarterly sales targets. Conduct proactive daily outreach and schedule high-quality meetings and product demos to generate and qualify new business opportunities. Present the product, online and in-person, to researchers, teaching faculty and academic librarians. Leverage industry trends and market insights to develop actionable account strategies that drive sales performance. Work effectively with other team members to deliver on sales targets, team projects and campaigns. Attend tradeshows and participate in other marketing activities<br><br>Requirements<br><br>A Bachelor's degree.3+ years of experience in sales, preferably in EdTech, STEM Publishing or Saa S. Full professional proficiency in Arabic language. Excellent communication, presentation and negotiation skills in person and online. Experienced with Salesforce and platforms such as Hubspot. Confidence in dealing with clients and product users. Self-motivated, initiative, results-oriented and willing to learn new skills. A drive to succeed and a proven ability to be resilient and overcome challenges.<br><br>Benefits<br><br>A competitive compensation package, including unlimited commissions on your sales You will make a direct impact in accelerating science research and education. Opportunity to work with global teams and in an environment that promotes innovation and collaboration. Our strong promotion from within the culture draws a clear path to advance your career with us

About the Role<br>The Research User Computing Platforms Lead provides hands-on technical leadership for KAUST’s Linux scientific workstation platform, with responsibility for its architecture, provisioning, configuration, automation, security, and lifecycle management. The role ensures that high-performance Linux workstations and remote workstation services effectively support faculty, researchers, and students across research and teaching activities. While the primary focus is Linux, the role also supervises and provides technical direction to Windows and mac OS engineers supporting the wider end-user computing fleet, ensuring alignment, consistency, and reliable service delivery across platforms.<br>Responsibilities<br>Set the architecture and technical direction for KAUST’s Linux scientific workstation fleet, including configuration management, provisioning, inventory, patching, access control, security, and lifecycle management. Establish infrastructure-as-code, Git Ops, automation, and engineering standards for the Linux platform team, and provide technical direction for the Windows and mac OS endpoint platforms supported by the team. Lead and document build-vs-buy and tooling decisions for provisioning, configuration management, secrets management, observability, and fleet operations, including rationale, risks, and tradeoffs. Own the design and continuous improvement of physical and remote scientific workstation platforms, ensuring secure, high-performance access for faculty, researchers, students, and teaching users. Oversee platform operations, including bare-metal and virtual provisioning, patch orchestration, inventory, drift detection, observability, reliability, and service continuity for active research users. Own the security and compliance posture of the workstation fleet, including host hardening, secrets management, audit logging, compliance baselines, and alignment with frameworks such as NIST 800-171 and CIS Benchmarks. Define hardware standards, refresh cycles, model validation, driver compatibility, firmware and BIOS automation, and lifecycle plans while balancing research priorities, budget constraints, and user disruption. Lead, mentor, supervise, and develop the Linux workstation platform team, including Windows and mac OS engineers, ensuring clear roles, objectives, performance expectations, and shared engineering practices. Serve as the senior technical escalation point for complex platform, provisioning, access-control, hardware, and cross-platform endpoint issues. Work directly with faculty, researchers, students, vendors, and internal IT teams to understand requirements, manage expectations, and translate research and teaching needs into sustainable platform capabilities. Partner with network, security, IAM, storage, and advanced computing teams to deliver integrated, secure, and compliant platform services. Provide regular updates and recommendations to senior IT leadership on platform direction, risks, lifecycle planning, investment needs, and service improvements. Perform other applicable tasks and duties assigned within the realm of the employee’s knowledge, skills, and abilities in the field of the position.<br><br>Qualifications<br>Essential: Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. Preferred: Master’s degree in a relevant technical or management discipline. Preferred certifications: Red Hat Certified Engineer (RHCE), Linux Professional Institute Certification (LPIC), Puppet Certified Professional or equivalent configuration-management certification. Preferred certifications: Networking or security certification relevant to NAC/802.1X, such as CCNA or Aruba certification; ITIL Foundation or higher; security certifications such as CISSP, CISM, or Comp TIA Security+.<br><br>Required Skills<br>Extensive experience in Linux systems, infrastructure, endpoint engineering, or platform engineering, with a strong record of owning systems at scale. Hands-on production experience with declarative configuration management, preferably Puppet or Ansible, and a demonstrated infrastructure-as-code and Git Ops mindset using Git workflows, code review, and CI/CD for infrastructure. Experience managing large Linux endpoints or workstation fleets, ideally 500+ endpoints, including Ubuntu and Rocky Linux in enterprise, research, academic, or scientific computing environments. Experience with network-based provisioning, patch management, endpoint security, observability, hardware lifecycle management, firmware/BIOS automation, and security/compliance baselines. Working knowledge of network access control, including 802.1X, RADIUS, certificate-based authentication, endpoint supplicant configuration, and provisioning or break-glass scenarios. Evidence of technical leadership, including setting architecture, making consequential tradeoffs, mentoring engineers, improving engineering practices, and supporting hiring or team development. Experience working directly with faculty, researchers, students, technical teams, vendors, and leadership to gather requirements, manage expectations, and balance competing priorities. Experience supporting high-performance or GPU-enabled scientific computing environments, including NVIDIA/CUDA, performance tuning, and workload-specific desktop requirements.

About the Role<br>The Research User Computing Linux Specialist designs, operates, and continuously improves KAUST's Linux-based research end-user computing platforms, including Ubuntu and Rocky Linux endpoints, physical scientific workstations, and virtual scientific workstation services. This role enables secure, reliable, and high-performance access to scientific desktop environments for faculty, researchers, and students.<br>Responsibilities<br>Administer, maintain, and improve Ubuntu and Rocky Linux end-user platforms to provide stable and secure scientific workstation services for KAUST's research and academic communities. Develop, standardize, and maintain Linux workstation builds and images for physical and virtual scientific desktops, ensuring consistency, reliability, and readiness for research use. Manage and support remote scientific workstation platforms, including NICE DCV and Kasm Workspaces, to enable secure, high-performance access to research desktop environments. Automate provisioning, configuration, patching, monitoring, and compliance activities using scripting, configuration management, Infrastructure as Code, and Git Ops-aligned practices. Troubleshoot and resolve complex Linux endpoint, workstation, remote desktop, GPU, driver, performance, identity, storage, and network-related issues, escalating where deeper platform or infrastructure support is required. Integrate Linux desktops and workstations with enterprise IAM, storage, network, monitoring, security, and endpoint management services to support compliant and reliable operations. Partner with faculty, researchers, students, research labs, HPC, storage, security, and advanced computing teams to understand scientific workflows and translate requirements into sustainable workstation solutions. Support installation, validation, and maintenance of scientific and research software on Linux workstation environments, considering compatibility, performance, reproducibility, and user needs. Implement and maintain security and compliance controls for Linux workstation environments, including patching, hardening, audit logging, endpoint security, and alignment with KAUST policies and relevant frameworks. Develop and maintain operational documentation, runbooks, user guidance, dashboards, and service metrics to improve supportability, transparency, and continuous improvement. Evaluate new Linux desktops, remote access, virtualization, automation, and scientific workstation technologies, and provide recommendations to improve service quality and platform capability. Perform other applicable tasks and duties assigned within the realm of the employee's knowledge, skills, and abilities in the field of the position.<br>Qualifications<br>Essential: Bachelor’s degree in computer science, Information Technology, Computer Engineering, Engineering, or a related field. Preferred: Relevant Linux certification such as Red Hat Certified Engineer, Linux Foundation Certified Engineer, LPIC, or equivalent. Certification or formal training in configuration management, automation, security, IT service management, NICE DCV, Kasm Workspaces, or related platforms is desirable. Security, cloud, networking, or endpoint management certifications such as Security+, CISSP, CCNA, ITIL, or equivalent are desirable.<br>Required Skills<br>Strong Linux administration and troubleshooting skills across endpoint, workstation, and scientific desktop environments. Strong automation mindset, with the ability to reduce manual work through scripting, configuration management, Infrastructure as Code, and repeatable operational processes. Good understanding of research and scientific computing needs, including GPU-enabled workstations, specialized software, reproducibility, performance, and secure remote access. Ability to diagnose issues across operating systems, drivers, remote desktop platforms, identity, storage, network, security controls, and user-side configurations. Customer-centric approach, with the ability to work directly with faculty, researchers, students, and technical teams, communicate clearly, and set realistic expectations. Strong documentation and continuous improvement mindset, with the ability to create runbooks, standards, support materials, and operational metrics. Good collaboration skills, with the ability to work effectively with platform, network, security, IAM, storage, HPC, vendor, and research support teams. Awareness of security, compliance, auditability, and operational risk in enterprise and research computing environments. Ability to prioritize work in a deadline-driven research and teaching environment while maintaining service reliability and user trust. Willingness to learn and evaluate new Linux, remote workstation, automation, and scientific computing technologies.<br>Preferred Skills<br>Hands-on experience with remote scientific workstation platforms such as NICE DCV, Kasm Workspaces, or similar technologies. Experience with GPU-enabled Linux workstations, NVIDIA/CUDA environments, scientific software stacks, or specialized research desktop environments. Exposure to security and compliance baselines such as NIST 800-171, NIST 800-53, CIS Benchmarks, ISO standards, or institutional security requirements. Experience working directly with faculty, researchers, students, labs, vendors, and cross-functional IT teams to gather requirements and deliver sustainable technical solutions.

Position Summary We are seeking a highly motivated and skilled Senior HPC Systems Administrator to join the KAUST Supercomputing Laboratory (KSL). The successful candidate will be responsible for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, Infini Band and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads.<br>Major Responsibilities – include but are not limited to - <br>Provide timely and effective user support via telephone, walk-in, email, and ticketing system for all inquiry types while maintain high customer service standards. Install, configure, and manage HPC subsystems including compute nodes, high-performance storage systems, Infini Band, Ethernet, and configuration management tools (e.g., Ansible, Puppet). Deploy and manage cluster management software, monitoring tools, and supporting services for operating HPC clusters. Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C++). Develop and maintain automation scripts in Bash and Python to streamline system administration tasks. Deploy and manage container environments (Singularity/Apptainer, Docker) for HPC workloads. Benchmark HPC system components like CPU, memory, Infini Band, and storage periodically to ensure optimal performance and identify tuning opportunities across hardware, driver, and application layers. Enforce security best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity planning. Directly support research activities in computational science, engineering, data analysis, and AI/ML by working closely with faculty, researchers, collaboration partners, and industrial partners in collaboration with application support teams. Develop software tools and utilities as needed to support research projects on cluster systems and subsystems. Drive proof-of-concept projects and technology evaluations end-to-end and research industry best practices and advocate system enhancements. Coordinate with vendors and third-party service providers to report and resolve issues in a timely manner. Develop and maintain user documentation, standard operating procedures, and training materials in the internal wiki. Stay at the forefront of HPC advancements through continuous learning, industry conferences, and professional collaboration, while driving benchmarking initiatives to inform future hardware procurement.<br>Competencies<br>Expertise in supporting users of computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Strong expertise in Linux system administration (RHEL, Rocky Linux, or Cent OS) in large-scale HPC environments. Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC). Demonstrated track record of managing complex HPC systems, including parallel file systems, job schedulers, Infini Band/Ethernet networks, and monitoring systems. Experience with configuration management tools (Ansible, Puppet, or equivalent). Familiarity with computational science, data analysis, and AI/ML applications and libraries used in HPC environments. Knowledge of project management principles and practices. Demonstrated ability to support research activities in a highly collaborative HPC environment. Strong analytical, problem-solving, and decision-making skills. Proactively identifies and implements system improvements; takes initiative and sees tasks through to closure. Ability to manage multiple concurrent projects and deliver high-quality results within deadlines. Proven ability to collaborate cross-functionally with researchers, application teams, and vendors. Effective in multi-cultural, international work environments. Excellent verbal and written communication skills in English, including the ability to prepare and deliver technical reports and presentations.<br>Qualifications Education requirement, minimum: Bachelor’s or master’s degree in computer science/engineering, Information Systems, or equivalent<br>Experience Experience requirement, minimum: Five years of experience supporting large scale computing platforms and related subsystems. Experience troubleshooting complex hardware issues and documenting root cause analysis. Experience managing parallel storage systems (Lustre, GPFS, Weka, Vast, or similar). Experience benchmarking HPC system components (CPU, memory, Infini Band, storage). Experience administering workload managers/schedulers (Slurm, LSF, or PBS). Strong Linux system administration experience (RHEL, Rocky Linux, or Cent OS). Experience with configuration management tools such as Ansible or Puppet. Ability to coordinate with researchers, application support teams, and vendors to resolve complex issues and drive them to closure. Proven ability to collaborate cross-functionally and drive initiatives to completion. Familiarity with Kubernetes and container orchestration platforms would be desirable

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Senior Team Manager (Manufacturing) – &nbsp;Al Kharj ,<strong> Saudi Arabia</strong></p><br><br> <br> <p><strong>The Company:</strong></p><br><br> <p>Almarai is the world’s largest vertically integrated dairy and the region’s largest food and beverage manufacturing and distribution company. Headquartered in the Kingdom of Saudi Arabia, Almarai Company is ranked as the #1 FMCG Brand in the MENA region and is a market leader in all its categories across the GCC. Almarai currently employs over 41,000 employees servicing some 110,000 retail outlets and has reported net income of SAR 1.76 Billion on sales of SAR 18.72 Billion in 2022. For more details, please visit our website –www.almarai.com.</p><br><br> <br> <p>An aggressive expansion program together with acquisitions in new vertical markets have created an exciting opportunity to join a dynamic multinational team dedicated to furthering growth plans for the group.</p><br><br> <br> <p><strong>About the Role:</strong></p><br><br> <p>To assist Blow Moulding Plant Manager ensuring cost effective, timely and efficient operation for high quality Product</p><br><br> <br> <p><strong>Requirement</strong>:</p><br><br> <p>Potential candidate must meet the requirements mentioned below:</p><br><br> <br> <br> <ul> <li>Bachelor's Degree in Mechanical or Electrical Engineering</li> <li>Five (5) years experience in similar position in the plastic industry</li> <li>Competency in plastic processing and awareness of industry norms</li> <li>Familiar with ISO 9001-2000, 22000, HACCP, GMP, Continuous Improvement, TPM, Lean, Six Sigma, Industrial Engineering</li> <li>Experience in the production of cultured products preferred</li> </ul> <br> <p>Almarai offers a competitive package, generous leave, medical coverage, discretionary bonus, training, and development etc.</p><br><br> <br> <p>This is a great opportunity to join a successful and expanding global business, offering an excellent remuneration and benefits package.</p><br><br> <br> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 5+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Urgently looking for IT Administrator who is good at installation, Configuration, troubleshooting, IT asset Management, IT Procurement etc.</p><p><strong>Desired Candidate Profile</strong></p><p>If interested please share to HR Manager EMAIL_ADDRESS-mine.com,whatsup PHONE_NUMBER your profile.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Work Schedule</b></p><br>Standard (Mon-Fri)<p><b>Environmental Conditions</b></p><br>Office<p><b><u>Job Description</u></b></p><br><p>Join Us as a Clinical Research Associate (Level I/II) – Make an Impact at the Forefront of Innovation<br>We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across 100+ countries in the last 5 years.<br>As part of our global team, you’ll have the opportunity to perform and coordinate all aspects of the clinical monitoring and site management process. As a Clinical Research Associate (Level II), you'll conduct remote or on-site visits to assess protocol and regulatory compliance and manage required documentation. You will manage procedures and guidelines from different sponsors and/or monitoring environments (i.e., FSO, FSP, Government, etc.). Acting as a site processes specialist, you will ensure that the trial is conducted in accordance with the approved protocol, ICH-GCP guidelines, applicable regulations, and SOPs to guarantee subjects' rights, well-being, and data reliability. You will ensure audit readiness and develop collaborative relationships with investigational sites. Detailed tasks and responsibilities assigned to your role are outlined in the task matrix.<br>What You’ll Do:<br>• Monitors investigator sites with a risk-based monitoring approach: applies root cause analysis (RCA), critical thinking and problem-solving skills to identify site processes failure and corrective/preventive actions to bring the site into compliance and decrease risks. Ensures data accuracy through SDR, SDV and CRF review as applicable through on-site and remote monitoring activities. Assess investigational product through physical inventory and records review. Documents observations in reports and letters in a timely manner using approved business writing standards. Escalates observed deficiencies and issues to clinical management expeditiously and follow all issues through to resolution. May need to maintain regular contact between monitoring visits with investigative sites to confirm that the protocol is being followed, that previously identified issues are being resolved and that the data is being recorded in a timely manner. Conducts monitoring tasks in accordance with the approved monitoring plan. Participates in the investigator payment process. Ensures a shared responsibility with other project team members on issues/findings resolution. Investigates and follows-up on findings as applicable.<br>• Participates in investigator meetings as necessary. Identifies potential<br>• investigators in collaboration with the client company to ensure the acceptability of qualified investigative sites. Initiates clinical trial sites according to the relevant procedures to ensure compliance with the protocol and regulatory and ICH GCP obligations, making recommendations where warranted. Performs trial close out and retrieval of trial materials.<br>• Ensures that required essential documents are complete and in place, according to ICH-GCP and applicable regulations. Conducts on-site file reviews as per project specifications.<br>• Provides trial status tracking and progress update reports to the Clinical Team Manager (CTM) as required. Ensures study systems are updated per agreed study conventions (e.g. Clinical Trial Management System).<br>• Facilitates effective communication between investigative sites, the client company and the PPD project team through written, oral and/or electronic contacts.<br>• Responds to company, client and applicable regulatory requirements/audits/inspections.<br>• Maintains &amp; completes administrative tasks such as expense reports and timesheets in a timely manner.<br>• Contributes to the project team by assisting in preparation of project publications/tools, and sharing ideas/suggestions with team members.<br>• Contributes to other project work and initiatives for process improvement, as required.<br>Education and Experience Requirements:<br>• Bachelor's degree in a life science related fieldor a Registered Nursing certification or equivalent and relevant formal academic / vocational qualification.</p><br><ul><li><b><span>Total experience:</span></b><span>at least 3 years as a CRA</span></li><li><b><span>Oncology experience:</span></b><span>at least 2 years of on-site, hands-on experience</span></li><li><b><span>Location:</span></b><span>central Poland</span></li></ul><p><br>• Valid driver's license where applicable.<br>Knowledge, Skills and Abilities:<br>• Proven clinical monitoring skills<br>• Demonstrated understanding of medical/therapeutic area knowledge and medical terminology<br>• Demonstrated ability to attain and maintain a working knowledge of ICH GCPs, applicable regulations and procedural documents<br>• Well-developed critical thinking skills, including but not limited to: critical mindset, in-depthinvestigation for appropriate root cause analysis and problem solving<br>• Ability to manage Risk Based Monitoring concepts and processes<br>• Good oral and written communication skills, with the ability to communicate effectively with medical personnel<br>• Ability to maintain customer focus through the utilization of good listening skills, attention to detail and the ability to perceive customers’ underlying issues<br>• Good organizational and time management skills<br>• Effective interpersonal skills<br>• Attention to detail<br>• Ability to remain flexibile and adaptable in a wide range of scenarios<br>• Ability to work in a team or independently as required<br>• Good computer skills: solid knowledge of Microsoft Office and the ability to learn appropriate software<br>• Good English language and grammar skills<br>• Good presentation skills<br>Working Conditions and Environment:<br>• Work is performed in an office/ laboratory/clinical/and/or home office environment with exposure to electrical office equipment.<br>• Frequent drives to site locations. Frequent travel, generally 60-80% but more for some individuals. May also include extended overnight stays.<br>• Exposure to biological fluids with potential exposure to infectious organisms.<br>• Personal protective equipment required such as protective eyewear, garments and gloves.<br>• Exposure to fluctuating and/or extreme temperatures on rare occasions</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Participates in a structured doctoral research training program and supports the planning, execution, and dissemination of biomedical research activities under the supervision of a Principal Investigator (PI). Contributes to research projects, scientific.</p><p>Essential Responsibilities and Duties</p><ul><li>Designs and conducts experimental studies under PIsupervision in areas including molecular biology, cell biology, genomics, ortranslational research</li><li>Performs laboratory procedures such as cell culture, PCR,Western blotting, ELISA, flow cytometry, sequencing workflows, and/or imagingtechniques</li><li>Prepares reagents, buffers, and biological samplesensuring compliance with Good Laboratory Practice (GLP) and institutionalbiosafety standards</li><li>Contribute to integrative analyses (e.g., multi-omics, clinicaldatasets, translational pipelines)</li><li>Conduct literature reviews and contribute to hypothesisgeneration and study design</li><li>Contribute to a culture of academic excellence,innovation, and ethical research conduct</li><li>Support IRB submissions, protocol development, andregulatory documentation where applicable</li><li>Adhere to all institutional policies on research ethics,biosafety, and data governance</li><li>Collaborate within multidisciplinary teams across KFSHRCand partner institutions</li><li>Follows all Hospital s related Policies and Procedures.</li><li>Participates in self and others' education, training anddevelopment, as applicable.</li><li>Performs other related duties as assigned.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master s Degree inBiomedical Sciences, Molecular Biology, Genetics, Biotechnology, Medicine,Pharmacy, or a closely related discipline.</li><li>Three (3) years ofrelated experience is required.</li><li>Must be accepted intoor enrolled in a PhD Program in Biomedical Sciences.</li></ul><p></p></section>

<h3 >About the Role</h3> <p >Uplift People Consulting is seeking a <strong >Local Store Marketing Executive</strong> to join a leading Food and Beverage QSR company. This full-time position is based in <strong >Jeddah and Makkah, Saudi Arabia</strong>, and focuses on driving dine-in and takeaway growth through field-focused marketing initiatives across KSA markets.</p> <h3 >Role Overview</h3> <p >This is an individual contributor role responsible for executing marketing strategies at the store level. The Local Store Marketing Executive will work closely with Area Managers and the Operations team, managing the budget for local store marketing initiatives. The role emphasizes strategic partnerships and ensuring brand consistency within individual stores.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop and execute localized marketing campaigns tailored to meet individual store requirements.</li> <li >Implement creative initiatives designed to enhance dine-in and takeaway sales performance.</li> <li >Manage the Local Store Marketing (LSM) budget effectively to maximize return on investment.</li> <li >Identify and cultivate partnerships with local businesses, influencers, and community organizations to boost brand visibility.</li> <li >Negotiate and manage partnership agreements to ensure optimal ROI.</li> <li >Ensure all marketing activities adhere to brand guidelines and maintain a consistent customer experience across all stores.</li> <li >Oversee the timely and cost-effective implementation of in-store marketing materials.</li> <li >Spend significant time in the field to understand store-level challenges and identify opportunities.</li> <li >Collaborate with Area Managers and Operations teams to implement marketing strategies effectively.</li> <li >Support marketing initiatives for new store launches to drive initial awareness and performance.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of <strong >5 to 10 years</strong> of relevant professional experience.</li> <li >Possession of an operational background combined with marketing exposure.</li> <li >Strong understanding of store-level dynamics and retail operations.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position requiring significant field presence. The role is based in <strong >Jeddah and Makkah</strong>, within the Makkah region of Saudi Arabia.</p> <h3 >Application Process</h3> <p >Interested candidates are invited to apply for this role. Salary details will be discussed during the interview process.</p>

About the Role<br>The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale. This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>MLOps and Container Development Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images. Design and implement robust MLOps workflows and pipelines at supercomputing scale. Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment. Design and deploy APIs for AI/ML services and inference endpoints. Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization. Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).<br>Governance and Compliance Support Assist in computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows. Ensure container images and workflows comply with security policies and best practices. Support the implementation of usage monitoring and reporting systems.<br>Performance and Benchmarking Perform performance debugging and tuning of MLOps and cloud-native workflows. Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems. Create and maintain regression testing workloads for existing clusters. Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.<br>Training and Documentation Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization. Develop and maintain high-quality user documentation for automation tools and workflows. Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of automation infrastructure.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.<br>Required Skills<br>Demonstrated experience developing robust and complex MLOps pipelines. Hands-on experience with API design and deployment. Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment. Experience supporting researchers or working in academic/research computing settings preferred.<br>Technical Skills - Essential Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh. MLOps: Experience developing and maintaining MLOps pipelines and workflows. CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment. Containerization: Experience building secure, OCI-compliant container images. API Development: Experience in API design, development, and deployment. Programming: Proficiency in Python; experience with Go, Bash scripting. Linux: Strong Linux/Unix systems administration skills.<br>Technical Skills - Desired Experience with Argo CD, Airflow, DASK, Spark for workflow orchestration. Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines. Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki). Knowledge of Model Context Protocol (MCP) and agentic frameworks. Experience deploying inference services at scale. Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub). Experience with Git Ops practices and Infrastructure as Code (Terraform, Ansible). Experience with HPC schedulers (SLURM) and HPC-cloud integration.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking Data Scientists and Advanced Analytics Consultants across multiple experience levels (T1 T5) to deliver advanced analytics, statistical modeling, machine learning, and business intelligence solutions. The successful candidate will transform complex datasets into actionable insights that drive strategic and operational decision-making. The role covers predictive analytics, customer behavior analysis, product analytics, user journey optimization, digital interface friction analysis, experimentation, and product conversion funnel optimization using modern analytics platforms, visualization tools, and machine learning technologies.</p><p>Key Responsibilities</p><ul><li>Apply statistical analysis, predictive modeling, and machine learning techniques to solve business problems.</li><li>Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.</li><li>Design and develop predictive, classification, clustering, and forecasting models.</li><li>Build dashboards and interactive reports to communicate analytical insights.</li><li>Perform user behavior analysis, customer segmentation, churn prediction, and conversion optimization.</li><li>Analyze digital interface friction and customer journeys using product analytics platforms.</li><li>Implement and validate client-side and server-side event tracking strategies.</li><li>Design event taxonomies, data layers, and product analytics instrumentation.</li><li>Develop A/B testing frameworks and measure experiment outcomes.</li><li>Collaborate with business stakeholders, product teams, data engineers, and software developers.</li><li>Validate data quality, statistical assumptions, and model performance.</li><li>Produce clear documentation for analytical models, business insights, and reporting methodologies.</li><li>Follow data governance, privacy, and Responsible AI best practices.</li></ul><p>Required Technical Skills</p><p>Programming &amp; Statistical Analysis</p><ul><li>Python (Pandas and NumPy and SciPy and scikit-learn)</li><li>R</li></ul><p>Data Science &amp; Analytics Platforms</p><ul><li>Databricks or Dataiku</li></ul><p>Data Warehousing</p><ul><li>BigQuery or Snowflake</li></ul><p>Business Intelligence &amp; Visualization</p><ul><li>Power BI or Tableau or Looker</li></ul><p>Product Analytics</p><ul><li>Google Analytics 4 (GA4) or Mixpanel or Amplitude</li></ul><p>Event Tracking &amp; Data Collection</p><ul><li>Client-side Event Tracking</li><li>Server-side Event Tracking</li><li>Data Layer</li><li>Tag Management</li><li>Product Event Instrumentation</li></ul><p>Machine Learning</p><ul><li>Regression</li><li>Classification</li><li>Clustering</li><li>Time Series Forecasting</li><li>Statistical Modeling</li></ul><p>Additional Skills</p><ul><li>SQL</li><li>Data Visualization</li><li>A/B Testing</li><li>Experiment Design</li><li>Customer Analytics</li><li>Product Analytics</li></ul><p>Responsibilities by Tier</p><p>T1 Associate Data Scientist (0 2 Years)</p><ul><li>Role Focus: Learning, data exploration, and analytical execution under supervision.</li><li>Responsibilities<ul><li>Clean, prepare, and validate datasets for analysis.</li><li>Perform exploratory data analysis (EDA).</li><li>Build basic statistical models and visualizations.</li><li>Assist in dashboard development and report generation.</li><li>Support implementation of product analytics tracking.</li><li>Validate event tagging and data collection accuracy.</li><li>Document analytical findings and model outputs.</li><li>Learn business analytics methodologies and statistical techniques.</li></ul></li></ul><p>T2 Data Scientist (2 4 Years)</p><ul><li>Role Focus: Independent analytical delivery.</li><li>Responsibilities<ul><li>Develop predictive and statistical models for business use cases.</li><li>Perform customer segmentation and behavioral analysis.</li><li>Build production-ready dashboards and KPI reporting.</li><li>Implement event tracking strategies using GA4, Mixpanel, or Amplitude.</li><li>Analyze conversion funnels and identify optimization opportunities.</li><li>Perform hypothesis testing and A/B experiment analysis.</li><li>Collaborate with engineering teams to improve data quality.</li><li>Deliver analytical reports and actionable recommendations.</li></ul></li></ul><p>T3 Senior Data Scientist (5 7 Years)</p><ul><li>Role Focus: Solution ownership and advanced analytics.</li><li>Responsibilities<ul><li>Design end-to-end advanced analytics and machine learning solutions.</li><li>Lead predictive modeling, forecasting, and optimization initiatives.</li><li>Design product analytics frameworks and event taxonomies.</li><li>Analyze digital interface friction and customer journeys.</li><li>Develop advanced experimentation methodologies.</li><li>Mentor junior data scientists and review analytical deliverables.</li><li>Translate business requirements into analytical solutions.</li><li>Improve analytical model accuracy, scalability, and business impact.</li></ul></li></ul><p>T4 Lead Data Scientist / Advanced Analytics Lead (8 11 Years)</p><ul><li>Role Focus: Technical leadership and enterprise analytics delivery.</li><li>Responsibilities<ul><li>Lead enterprise-wide analytics and machine learning initiatives.</li><li>Define analytics architecture, methodologies, and governance standards.</li><li>Design scalable customer analytics and product intelligence solutions.</li><li>Drive advanced experimentation, behavioral analytics, and predictive analytics programs.</li><li>Review analytical models, dashboards, and statistical methodologies.</li><li>Lead stakeholder engagements and translate strategic objectives into analytical roadmaps.</li><li>Mentor cross-functional analytics teams.</li><li>Establish best practices for analytics engineering, visualization, and reporting.</li></ul></li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence, Economics, Engineering, or a related field.</li><li>Strong knowledge of statistical modeling, machine learning, predictive analytics, and experimentation techniques.</li><li>Experience with cloud data platforms, product analytics tools, and modern BI solutions.</li><li>Understanding of digital analytics, event instrumentation, customer journey analytics, and conversion optimization.</li><li>Excellent analytical thinking, communication, stakeholder management, and problem-solving skills.</li><li>Ability to work in Agile, cross-functional, and enterprise-scale environments.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Summary<p>Participates in a structured doctoral research training program and supports the planning, execution, and dissemination of biomedical research activities under the supervision of a Principal Investigator (PI). Contributes to research projects, scientific.</p><br><br>Essential Responsibilities and Duties<br><ol><li>Designs and conducts experimental studies under PIsupervision in areas including molecular biology, cell biology, genomics, ortranslational research</li><li>Performs laboratory procedures such as cell culture, PCR,Western blotting, ELISA, flow cytometry, sequencing workflows, and/or imagingtechniques</li><li>Prepares reagents, buffers, and biological samplesensuring compliance with Good Laboratory Practice (GLP) and institutionalbiosafety standards</li><li>Contribute to integrative analyses (e.g., multi-omics, clinicaldatasets, translational pipelines)</li><li>Conduct literature reviews and contribute to hypothesisgeneration and study design</li><li>Contribute to a culture of academic excellence,innovation, and ethical research conduct</li><li>Support IRB submissions, protocol development, andregulatory documentation where applicable </li><li>Adhere to all institutional policies on research ethics,biosafety, and data governance</li><li>Collaborate within multidisciplinary teams across KFSHRCand partner institutions</li><li>Follows all Hospital’s related Policies and Procedures.</li><li>Participates in self and others' education, training anddevelopment, as applicable.</li><li>Performs other related duties as assigned.</li></ol>Education<p><span>Master’s Degree inBiomedical Sciences, Molecular Biology, Genetics, Biotechnology, Medicine,Pharmacy, or a closely related discipline.</span></p><br><br>Experience Required<p><span>Three (3) years ofrelated experience is required.</span></p><br><br>Other Requirements(Certificates)<p><span>Must be accepted intoor enrolled in a PhD Program in Biomedical Sciences.</span></p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 2+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Participates in a structured doctoral research training program and supports the planning, execution, and dissemination of biomedical research activities under the supervision of a Principal Investigator (PI). Contributes to research projects, scientific.</p><p>Essential Responsibilities and Duties</p><ul><li>Designs and conducts experimental studies under PIsupervision in areas including molecular biology, cell biology, genomics, ortranslational research</li><li>Performs laboratory procedures such as cell culture, PCR,Western blotting, ELISA, flow cytometry, sequencing workflows, and/or imagingtechniques</li><li>Prepares reagents, buffers, and biological samplesensuring compliance with Good Laboratory Practice (GLP) and institutionalbiosafety standards</li><li>Contribute to integrative analyses (e.g., multi-omics, clinicaldatasets, translational pipelines)</li><li>Conduct literature reviews and contribute to hypothesisgeneration and study design</li><li>Contribute to a culture of academic excellence,innovation, and ethical research conduct</li><li>Support IRB submissions, protocol development, andregulatory documentation where applicable</li><li>Adhere to all institutional policies on research ethics,biosafety, and data governance</li><li>Collaborate within multidisciplinary teams across KFSHRCand partner institutions</li><li>Follows all Hospital s related Policies and Procedures.</li><li>Participates in self and others' education, training anddevelopment, as applicable.</li><li>Performs other related duties as assigned.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Education Master s Degree inBiomedical Sciences, Molecular Biology, Genetics, Biotechnology, Medicine,Pharmacy, or a closely related discipline.</p><p>Experience Required Three (3) years ofrelated experience is required.</p><p>Other Requirements(Certificates) Must be accepted intoor enrolled in a PhD Program in Biomedical Sciences.</p>