Urwah Admin

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 The Role
 
 
 
 
 
 
 The Senior AI/ML Support Specialist will provide expert technical support and enablement services for AI research computing at KAUST's world-class supercomputing facility (KSL). Working under the AI/ML Support Team Lead, this role focuses on hands-on technical implementation, user support, and optimization of AI workflows on KSL's infrastructure. The scientist will serve as a technical expert helping researchers effectively utilize thousands of GPUs for distributed AI training, while ensuring compliance with governance and security requirements. A key aspect of this role involves the review and implementation of secure and compliant artifact creation and maintenance for AI, including models, software, datasets, and pipelines. Senior candidates should initiate and autonomously work on operational and/or scientific impact project(s) in collaboration with KAUST faculty members or with teams in the lab or other core labs, in the framework of method development projects impacting a wide range of research groups by proposing new added-value services within the lab.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Technical Implementation and Support
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Install, configure, and maintain AI/ML software packages on HPC systems, ensuring secure, compliant, and performant deployments.
 </li>
 <li>
 Provide expert technical support for distributed training on GPUs using frameworks like DeepSpeed, PyTorch Lightning, NVIDIA Nemo, and PyTorch FSDP.
 </li>
 <li>
 Debug and optimize performance issues in AI workloads, including communication bottlenecks and I/O optimization.
 </li>
 <li>
 Develop and maintain complex SLURM workflows for multi-node, multi-GPU training jobs.
 </li>
 <li>
 Assist researchers with hyperparameter optimization and distributed data analytics implementations.
 </li>
 <li>
 Support users in building efficient OCI-compliant and HPC-ready containers using Singularity and Podman for AI workloads.
 </li>
 <li>
 Troubleshoot issues with NCCL, MPI, and other communication libraries for GPU clusters.
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Execute AI artifact control reviews for software packages, models, and datasets.
 </li>
 <li>
 Perform computational readiness reviews for AI project proposals.
 </li>
 <li>
 Inspect security vulnerabilities in AI software, models, and datasets using tools like JFrog, Nexus, Trivy, Snyk, or similar.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems for audit compliance.
 </li>
 <li>
 Maintain documentation of control processes and security procedures.
 </li>
 <li>
 Ensure user workflows comply with KSL security policies and best practices.
 </li>
 </ul>
 
 
 
 
 
 AI Infrastructure Development
 
 
 <ul>
 <li>
 Develop and maintain AI/ML benchmarks for system performance evaluation and regression testing.
 </li>
 <li>
 Build and maintain automated testing for continuous validation of HPC systems hosting AI workload after maintenance events (regression testing).
 </li>
 <li>
 Create tools and scripts to simplify researcher workflows and improve productivity.
 </li>
 <li>
 Contribute to the development of AI-enabled monitoring tools for anomaly detection in datasets and resource utilization.
 </li>
 <li>
 Implement solutions for efficient data movement and optimization on high performance storage (Lustre, Weka IO, Object stores).
 </li>
 <li>
 Develop CI/CD pipelines for reproducible AI workflows using GitLab, Argo, Tekton, etc.
 </li>
 <li>
 Support MLOps initiatives, including experiment tracking, model versioning, and deployment pipelines.
 </li>
 </ul>
 
 
 
 
 
 User Training and Documentation
 
 
 <ul>
 <li>
 Deliver technical training sessions on distributed AI training, containerization, and HPC best practices.
 </li>
 <li>
 Create and maintain technical documentation, tutorials, and best practice guides.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of computational and storage resources.
 </li>
 <li>
 Develop training materials for new AI frameworks and tools as they are deployed.
 </li>
 <li>
 Support the Team Lead in workshop preparation and delivery.
 </li>
 <li>
 Contribute to knowledge base articles and FAQ documentation.
 </li>
 </ul>
 
 
 
 
 
 Technology Evaluation and Testing
 
 
 <ul>
 <li>
 Test and evaluate new AI frameworks, libraries, and tools for potential deployment.
 </li>
 <li>
 Conduct feasibility studies for emerging technologies relevant to AI workloads.
 </li>
 <li>
 Perform benchmarking of new hardware and software configurations.
 </li>
 <li>
 Support acceptance testing for new systems and upgrades.
 </li>
 <li>
 Provide technical input for procurement decisions based on user needs.
 </li>
 <li>
 Participate in proof-of-concept projects for innovative AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Strong academic foundation in machine learning, deep learning, and AI fundamentals.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 8 years of experience in HPC environments, AI/ML support, or related technical field.
 </li>
 <li>
 Proven experience with large-scale multi-GPU and multi-node distributed training.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks in production HPC environments.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings.
 </li>
 <li>
 Programming: Proficiency in Python; experience with R, Julia, or C++ is a plus.
 </li>
 <li>
 AI/ML Frameworks: Strong expertise in PyTorch and/or TensorFlow, JAX.
 </li>
 <li>
 Distributed Training: Experience with DeepSpeed, Ray, PyTorch Lightning, NVIDIA Nemo, PyTorch FSDP, or similar.
 </li>
 <li>
 HPC Systems: Proficiency with SLURM workload manager and job scripting.
 </li>
 <li>
 Communication Libraries: Experience tuning NCCL, MPI for GPU clusters.
 </li>
 <li>
 Containerization: Expertise in Singularity and Podman for HPC environments.
 </li>
 <li>
 Software Management: Experience with Conda, Pip, Spack, EasyBuild, or Environment Modules.
 </li>
 <li>
 Linux: Strong Linux/Unix skills and bash scripting capabilities.
 </li>
 </ul>
 
 
</div>

Senior HPC AI/ML Support Specialist

<div>
 
 
 The Role
 
 
 
 
 
 
 The Research Compliance Specialist is responsible for creating, developing, implementing, and promoting the Research Data Management (RDM) Program at KAUST. RDM training and management provide the foundation for the preservation, protection, and monetization of one of KAUST&rsquo;s most valuable resources (research data).
 
 
 
 
 
 KAUST is an internationally respected research institution, and its reputation is dependent upon the good data management practices of its researchers.
 
 
 
 
 
 A state-of-the-art RDM program developed and implemented by the Research Compliance Specialist will ensure that the University conducts research that meets or exceeds national and international RDM standards. By enabling the reuse of data and rationalizing resource allocation, RDM supports both research excellence and the optimization of operating costs. In addition, the reputation of the University is impacted by the RDM practices that its graduates and postdoctoral researchers take with them when they leave the University.
 
 
 The Research Compliance Specialist will ensure that the University&rsquo;s students and postdoctoral
 
 
 researchers leave KAUST adequately equipped to manage research data.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Serve as a subject matter expert on research data management (RDM) regulations, guidelines, and best practices.
 </li>
 <li>
 Promote a culture of responsible research data management across KAUST&rsquo;s diverse research environment.
 </li>
 <li>
 Analyze existing RDM systems and processes, identifying gaps and opportunities for integration.
 </li>
 <li>
 Develop and implement policies governing RDM at the University.
 </li>
 <li>
 Design, deploy, and manage RDM tools or solutions tailored to KAUST&rsquo;s needs.
 </li>
 <li>
 Coordinate and consolidate existing guidance, resources, and efforts across departments.
 </li>
 <li>
 Benchmark with external institutions and stakeholders to identify RDM best practices.
 </li>
 <li>
 Prepare guidance documents, online resources, and web content to support RDM practices.
 </li>
 <li>
 Provide strategic advice to stakeholders on implementing effective RDM practices.
 </li>
 <li>
 Develop course curricula and deliver training sessions, workshops, and presentations on RDM.
 </li>
 <li>
 Engage with faculty, staff, students, and administrators to foster compliance and awareness.
 </li>
 <li>
 Monitor, audit, and evaluate the effectiveness of the RDM program.
 </li>
 <li>
 Assist with investigations or enquiries related to alleged RDM mismanagement.
 </li>
 <li>
 Perform day-to-day administrative duties associated with the RDM program.
 </li>
 <li>
 Provide administrative support to other compliance programs, including: Animal Care and Use, Biosafety, Human Subjects Research, Radiation Safety, Scientific Diving, and Responsible Conduct of Research Programs.
 </li>
 <li>
 Be cross-trained and able to assist colleagues in the support of the above programs.
 </li>
 <li>
 Supplement administration of Research Compliance and RCR activities.
 </li>
 <li>
 Transcribing notes, minutes, and formal proceedings.
 </li>
 <li>
 Other duties as assigned.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Doctoral or master&rsquo;s degree in a regulatory, scientific or related field.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 6+ years of research data management experience within a scientific or related environment.
 </li>
 <li>
 Experience with RDM program administration is preferred.
 </li>
 <li>
 Customer-driven approach.
 </li>
 <li>
 Demonstrated expertise in RDM practices.
 </li>
 <li>
 Proactive and self-driven.
 </li>
 <li>
 Strong organizational skills.
 </li>
 <li>
 Collaborative nature with strong persuasive skills.
 </li>
 <li>
 A firm understanding of scientific practices and research methods.
 </li>
 <li>
 Knowledge of organizational and administrative support processes.
 </li>
 <li>
 Strong verbal and written communication skills.
 </li>
 <li>
 Demonstrated proficiency with computer applications.
 </li>
 <li>
 Excellent verbal, written communication, and presentation skills.
 </li>
 <li>
 High degree of confidentiality.
 </li>
 </ul>
 
 
</div>

Research Data Management Compliance Specialist

<div>
 
 
 IP Administrator (Intellectual Property), Technology Transfer &amp; Innovation Office
 
 
 
 
 
 
 
 Research Translation Hub - Technology Transfer &amp; Innovation Office (TTIO)
 
 
 
 
 
 
 
 Position Summary
 
 
 
 The IP Administrator supports the IP Strategy Team in the effective administration of KAUST&rsquo;s intellectual property portfolio. The role is responsible for maintaining patent and finance systems, supporting compliance activities, coordinating with internal and external stakeholders, and providing analytical support as required. The IP Administrator works under the day-to-day supervision of an IP Manager and collaborates with other members of the IP Strategy Team to ensure efficient, accurate, and timely management of IP-related processes.
 
 
 
 
 
 
 Major Responsibilities
 
 
 
 
 Patent Systems
 
 
 <ul>
 <li>
 Maintain KAUST&rsquo;s IP database with a high level of accuracy and diligence.
 </li>
 <li>
 Track patent and fee deadlines through the preparation and maintenance of tracking tools and reports that support portfolio management.
 </li>
 <li>
 Assist in coordinating the finalization, execution, and submission of documents from external attorneys to ensure patent deadlines are met.
 </li>
 <li>
 Liaise with KAUST Government Affairs, researchers, and external attorneys to facilitate timely processing and submission of documentation.
 </li>
 <li>
 Coordinate the payment of required patent fees and related expenses in accordance with established processes.
 </li>
 <li>
 Ensure that communications from patent offices and external attorneys are circulated to the appropriate IP Strategy Team members.
 </li>
 <li>
 Act as a point of contact with external attorneys and service providers regarding patent administration matters.
 </li>
 </ul>
 
 
 
 
 
 
 Finance Systems
 
 
 <ul>
 <li>
 Monitor the TTIO Finance email account and respond to inquiries and requests in a timely and professional manner.
 </li>
 <li>
 Work with members of the IP Strategy Team to review and validate invoices from external attorneys and service providers prior to approval.
 </li>
 <li>
 Coordinate with NTI Finance to ensure payments are processed efficiently.
 </li>
 <li>
 Maintain accurate and up-to-date financial records within KAUST&rsquo;s IP systems and database.
 </li>
 <li>
 Engage with external stakeholders, including patent co-owners and licensees, to ensure invoices received are appropriate and paid promptly.
 </li>
 </ul>
 
 
 
 
 
 Compliance
 
 
 <ul>
 <li>
 Monitor the TTIO Compliance email account and ensure timely follow-up on related matters.
 </li>
 <li>
 Work with KAUST&rsquo;s external service providers and back-office teams to ensure the IP database accurately reflects the status, obligations, and terms of IP agreements.
 </li>
 <li>
 Coordinate with NTI Finance to prepare and process invoice requests for payments due to KAUST.
 </li>
 <li>
 Support compliance with internal policies and external regulatory or contractual obligations related to IP management.
 </li>
 </ul>
 
 
 
 
 
 Analysis
 
 
 <ul>
 <li>
 Prepare and provide reports, data summaries, and analysis as requested by TTIO leadership.
 </li>
 <li>
 Support informed decision-making through accurate and timely information management.
 </li>
 </ul>
 
 
 
 
 
 Being Part of the TTIO
 
 
 <ul>
 <li>
 Demonstrate commitment to the values of TTIO and KAUST.
 </li>
 <li>
 Carry out additional duties and related tasks as directed by TTIO leadership.
 </li>
 </ul>
 
 
 
 
 
 Personal Requirements
 
 
 
 
 
 
 
 Competencies
 
 
 <ul>
 <li>
 Ability to work effectively under the guidance of senior members of the IP Strategy Team.
 </li>
 <li>
 Familiarity with handling documents, managing deadlines, and maintaining professional communications.
 </li>
 <li>
 Demonstrate an efficient, effective, and transparent approach to work.
 </li>
 <li>
 Proactive and responsive in engagement with colleagues and stakeholders.
 </li>
 <li>
 Strong team player with a collaborative and service-oriented mindset.
 </li>
 <li>
 Commitment to continual improvement and learning.
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to communicate clearly, concisely, respectfully, and professionally.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business administration, Law, Legal Studies, Finance, Management, or a related field.
 </li>
 <li>
 Additional training or certification in Intellectual Property administration or legal support is desirable.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 A minimum of 4 years of relevant work experience.
 </li>
 <li>
 Understanding of intellectual property laws and practice in Saudi Arabia or other jurisdictions is desirable.
 </li>
 <li>
 Experience in administrative coordination and working with multiple internal and external stakeholders.
 </li>
 </ul>
 
 
</div>

Intellectual Property Administrator, Technology Transfer & Innovation Office

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

AI/ML Support Automation Analyst

<div>
 
 
 The Role
 
 
 
 
 
 
 The Staff Scientist in the Viral Vector Facility (VVF) plays a central role in supporting the strategic goals of the Bio-Medical platform. The Scientist in the VVF will design, produce, and deliver high-quality viral vectors (e.g., AAVs and Lentivirus) to support cutting-edge research at KAUST and in the region. The scientist will optimize and scale production workflows, improve vector performance and cost-efficiency, and ensure strict quality and biosafety standards. We are seeking a highly skilled molecular biologist with expertise in viral vector engineering and production, who can translate complex experimental needs into tailored genetic tools and drive innovation in vector design and delivery. The scientist will collaborate closely with researchers, supervise technical staff, and provide advanced training in molecular genetics and viral vector technologies, helping position KAUST as a regional hub for state-of-the-art viral vector solutions.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Scientific Collaboration:
 
 Collaborate with researchers to identify appropriate viral vector systems that address key scientific questions, supporting high-impact research and publications.
 </li>
 <li>
 
 Viral Vector Production:
 
 Produce high-quality, safe, and effective viral vectors tailored to experimental needs and cell-based research applications.
 </li>
 <li>
 
 Staff &amp; Operations Management:
 
 Supervise and mentor a laboratory technician; manage daily tasks to ensure timely and high-quality work deliverables.
 </li>
 <li>
 
 Project management:
 
 Coordinate multiple research projects and timelines to ensure milestones and deliverables are met on schedule.
 </li>
 <li>
 
 SOP Development &amp; Maintenance:
 
 Develop, implement, and enforce standard operating procedures (SOPs) to ensure efficiency, reproducibility, and compliance in viral vector production.
 </li>
 <li>
 
 Laboratory Safety &amp; Compliance:
 
 Ensure Good Laboratory Practice (GLP) and maintain a safe working environment in accordance with biosafety regulations and Institutional Biosafety and Ethics Committee (IBEC) guidelines.
 </li>
 <li>
 
 Data Integration &amp; Collaboration:
 
 Integrate laboratory data into the Bio-Medical Platform and collaborate with IT and bioinformatics teams for effective data management, analysis, and reporting.
 </li>
 <li>
 
 Process Innovation:
 
 Design and implement new or improved techniques and workflows to address scientific challenges, enhance viral vector performance and throughput, and reduce production costs.
 </li>
 <li>
 
 Training &amp; Knowledge Development:
 
 Provide advanced training in viral vector production and contribute to building technical expertise among staff.
 </li>
 <li>
 
 General Laboratory Duties:
 
 Conduct routine laboratory responsibilities, including procurement, documentation, equipment maintenance, and participation in task forces and institutional committees.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 A PhD degree in relevant field
 </li>
 <li>
 5-7 + years of hands-on experience in molecular genetics, cloning, gene editing, viral vector production, cell culture.
 </li>
 <li>
 Strong scientific track records, including successful management of research projects, and/or demonstrated operational excellence, and/or publication in high-impact peer-reviewed journals.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 In-depth knowledge and strong expertise in cell and molecular genetics.
 </li>
 <li>
 Proven experience in the production of viral vectors (such as AAVs, Lentiviruses, Rabies Virus etc.) and gene manipulation technologies.
 </li>
 <li>
 Experience in primary human cell immortalization.
 </li>
 <li>
 Demonstrated ability to collaborate with researchers in the biological sciences, understand their experimental needs, and translate these into effective genetic tools.
 </li>
 <li>
 Excellent organization skills with a proven ability to manage and execute multiple research projects simultaneously.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to engage with stakeholders and foster a collaborative work environment.
 </li>
 <li>
 A proactive, results-driven team player with a commitment to achieving shared goals.
 </li>
 </ul>
 
 
</div>

Viral Vector Staff Scientist

<div>
 
 
 Marine Research Instrumentation Engineer (AUVs/ROVs/CODAR/Gliders)
 
 
 
 
 
 
 
 Coastal and Marine Resources (CMR) Core Lab
 
 
 
 
 
 
 
 Position Summary
 
 
 
 The Marine Instrumentation Engineer working for CMR's Asset Integrity to provide all needed support on daily basis to manage and maintain all marine robotics and labs components and ensure the availability and reliability of the systems. Responsible for modification and developments of marine robotics and instruments.
 
 
 System Overview:
 
 
 CMR has a number of marine robotics such Autonomous Underwater Vehicle (AUV), Remotely Operated Vehicles (ROV) and Unmanned Surface Vehicles which requires high tech skills and troubleshooting capabilities. In addition, handling the ISO 17025 calibration lab requires list of responsibilities such as calibration audit review and preparation. Maintain instruments calibration before due date (17 CTD,15 ADCP, 4 rosettes, etc). Supporting all required field work offshore and onshore.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Add and configure underwater scientific sensors for all marine instruments and vehicles.
 </li>
 <li>
 Proactively monitor and maintain systems software backups, calibration due dates and update critical spare part list and inventory.
 </li>
 <li>
 Troubleshoot and rectify marine robotics and instruments breakdowns and give root cause analysis on incidents.
 </li>
 <li>
 Ensuring all marine robotics and instruments components are operational and up to the facility expectation.
 </li>
 <li>
 Managing scheduled preventive maintenance of marine equipment.
 </li>
 <li>
 Maintaining scientific system servers, GNSS, routers and network switches in RV Thuwal.
 </li>
 <li>
 Support and maintain weather stations, Buoys, Argos,floats.
 </li>
 <li>
 Proposing system enhancement initiatives and working with various department on system enhancement and expansion initiatives/projects.
 </li>
 <li>
 Provide afterhours/weekend support where and when necessary.
 </li>
 <li>
 Respond to site in emergency cases.
 </li>
 <li>
 Perform other applicable tasks and duties assigned within the realm of the employee's knowledge, skills and abilities in the field of his/her position.
 </li>
 <li>
 Review and write Standard Operation Procedures (SOPs).
 </li>
 <li>
 Performing periodic performance tests of systems SOP.
 </li>
 <li>
 Complying with the Campus HSE safety Standards and procedures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Competencies
 
 
 <ul>
 <li>
 Good knowledge in relevant marine instrumentation engineering standards.
 </li>
 <li>
 Experience in ROV piloting and repairing.
 </li>
 <li>
 Strong knowledge in the application of software solutions in marine robotics.
 </li>
 <li>
 Good knowledge in various operating systems such as MS windows, Linux, Raspberry PI and Arduino.
 </li>
 <li>
 Excellent knowledge of acoustic devices and instrumentations.
 </li>
 <li>
 Experience with the understanding of electronic circuit diagrams.
 </li>
 <li>
 Ability to report &ldquo;in detail&rdquo; issues relevant to marine robotics and instrumentation.
 </li>
 <li>
 Strong knowledge about fiber optics splicing and testing.
 </li>
 <li>
 High competency in MS Office applications (Word, Excel, Outlook, Powerpoint, Autocad etc.).
 </li>
 <li>
 Good command of both written and spoken English.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor or higher degree in Instrumentation and Control Systems Engineering or relevant field 5+ years of experience in marine instrumentation.
 </li>
 <li>
 Experience operating and maintaining CODAR
 </li>
 <li>
 Experience operating and maintaining Gliders
 </li>
 </ul>
 
 
</div>

Marine Research Instrumentation Engineer (AUVs/ROVs), Coastal & Marine Resources

<div>
 
 
 About the Role
 
 
 
 
 
 
 The Tenant Account Specialist manages the full tenancy lifecycle for KRTP tenants&mdash;from initial attraction and relationship development to drafting agreements, onboarding, and ongoing account management. This role serves as the primary point of contact for all tenants within the assigned portfolio and oversees selected shared tenancy services, including professional workshops and seminars that enhance the tenant experience.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Attraction:
 
 
 <ul>
 <li>
 Utilize varied engagement channels to attract potential tenants to KRTP.
 </li>
 <li>
 Collaborate closely with the Engagement &amp; Partnerships team to identify and pursue prospective tenants.
 </li>
 <li>
 Lead early-stage discussions with potential tenants to understand their needs, including engagement level with KAUST, space requirements (built-up areas, land, testing facilities, etc.), staffing needs, and recommended tenancy type.
 </li>
 <li>
 Participate in tenant attraction strategies, events, and related activities as required.
 </li>
 </ul>
 
 
 
 
 
 Tenancy Agreements and Onboarding:
 
 
 <ul>
 <li>
 Draft tenancy agreements and ensure all agreements and amendments within the portfolio are accurate, up to date, and aligned with departmental workflows.
 </li>
 <li>
 Coordinate with relevant KAUST departments (Security, IT, Finance, Housing, etc.) to support the onboarding process.
 </li>
 <li>
 Prepare and update all financial forms required for tenants and work with Finance to initiate and follow up on invoicing.
 </li>
 <li>
 Serve as the primary point of contact for all tenant companies within the assigned portfolio.
 </li>
 <li>
 Monitor tenant payments to ensure timely completion; follow up on overdue payments and escalate when necessary.
 </li>
 <li>
 Ensure timely renewal of tenancy agreements or, alternatively, coordinate tenant termination and exit processes in alignment with relevant departments.
 </li>
 <li>
 Maintain complete, accurate, and up-to-date documentation and data within departmental databases and CRM systems.
 </li>
 </ul>
 
 
 
 
 
 Service &amp; Support:
 
 
 <ul>
 <li>
 Plan, design, and deliver professional workshops and seminars that enrich the tenant experience in KRTP.
 </li>
 <li>
 Develop and streamline onboarding criteria, SOPs, and processes, ensuring alignment with the department&rsquo;s digital platforms.
 </li>
 <li>
 Ensure all tenant documents, agreements, registration forms, company profiles, and contacts are added and regularly updated in shared platforms.
 </li>
 </ul>
 
 
 
 
 
 Success/ Innovation Management:
 
 
 <ul>
 <li>
 Support tenant success initiatives to ensure tenants maximize KRTP offerings, leverage campus facilities, and progress their innovation objectives.
 </li>
 <li>
 Contribute to broader activities and functions supporting the innovation ecosystem team as required.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field (e.g., Business Administration, Innovation Management, or related disciplines).
 </li>
 <li>
 Minimum of 6 years of experience in a customer-facing or customer-care role, preferably within a complex, multi-stakeholder environment.
 </li>
 <li>
 Demonstrated ability to work cross-functionally, manage sensitive information, and provide high-quality service to internal and external stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Fluency in English; Arabic proficiency preferred.
 </li>
 <li>
 Strong credibility-building skills with internal and external stakeholders at all levels.
 </li>
 <li>
 Excellent leadership, communication, and time management capabilities.
 </li>
 <li>
 Demonstrated commitment to exceptional customer service.
 </li>
 <li>
 Ability to prioritize effectively and respond to urgent situations.
 </li>
 <li>
 Strong partner engagement skills with the ability to understand and address diverse needs.
 </li>
 <li>
 Ability to collaborate across departments to obtain sensitive information and resolve issues pragmatically.
 </li>
 <li>
 Sound judgment in handling confidential matters involving KAUST or its partners.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in corporate innovation environments, science parks, research parks, or technology hubs is highly desirable.
 </li>
 <li>
 Proven expertise in account management, including drafting agreements, overseeing onboarding, managing payments, and maintaining accurate documentation.
 </li>
 <li>
 Strong presentation, facilitation, and public-speaking skills, with experience delivering workshops, seminars, or engagement events.
 </li>
 <li>
 Extensive communication and interpersonal experience, enabling effective engagement with tenants, partners, contractors, and KAUST internal stakeholders.
 </li>
 <li>
 Familiarity with CRM systems, digital workflows, and shared platforms for managing tenant information and processes is an advantage.
 </li>
 </ul>
 
 
</div>

Tenant Account Specialist

Join KAUST (King Abdullah University of Science and Technology) and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.