เงื่อนไขการค้นหา

ทักษะ:

Contracts, Python, SQL

ประเภทงาน:

งานประจำ

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital products.
• Translate scientific and business complexity into scalable model logic and reusable ...
• Context- and Knowledge-Driven Data Modelling.
• Develop context-rich data models that connect scientific data, metadata, documents, protocols, business rules, and domain concepts into reusable knowledge assets.
• Create information structures that preserve scientific meaning and operational context to improve consistency across functions and over time.
• Improve discoverability and reuse by formalizing relationships, definitions, and contextual attributes across fragmented systems and data sources.
• Ontology, Knowledge Graph, and RAG Foundations.
• Apply ontology principles to define consistent concepts, hierarchies, relationships, and machine-readable rules across priority R&D data domains.
• Support the development of R&D knowledge graph foundations by modeling relationships between experiments, protocols, observations, methods, assets, and decisions.
• Enable Retrieval-Augmented Generation (RAG) and other knowledge-driven AI approaches by improving retrieval structures, contextual linkages, and connections between structured and unstructured information.
• AI-Ready Data Platform Enablement.
• Contribute to AI-ready data platforms by defining reusable knowledge layers, integration patterns, and data-readiness standards.
• Partner with platform owners, Bioinformatics leads and technical stakeholders to scalable AI integration, and reliable information retrieval.
• Collaboration with Data Scientists and Bioinformatics Leads.
• Collaborate with Data Scientists and Bioinformatics lead to ensure analytical, digital, and AI solutions are built on reusable and scalable data foundations.
• Contribute to shared architecture discussions, design reviews, and foundational modelling decisions aligned with business and platform needs.
• Documentation, Standards, and Change Enablement.
• Document modelling standards, ontologies, schemas, and reusable reference patterns to support consistent adoption across teams.
• Provide technical guidance on computational data models, ontology structures and AI-ready data design approaches.
• Governance, Safety, and Professional Standards.
• Ensure data models and knowledge structures align with governance, security, lineage awareness, traceability, and responsible AI enablement standards.
• Balance architectural rigor, usability, innovation, usability, and practical business value to support scalable implementation.
• Qualifications Advanced degree (MSc or PhD) or equivalent applied experience in data science, computational modeling, data engineering, knowledge engineering, computer science, bioinformatics, or a closely related field.
• Demonstrated hands on experience designing reusable computational data models, including entities, schemas, relationships, metadata structures, and model driven data consumption patterns.
• Strong expertise in semantic modeling, ontology principles, and knowledge representation, with the ability to translate complex domain concepts into machine readable structures.
• Proven experience with knowledge graphs, information retrieval, or retrieval augmented generation (RAG)-enabling architectures, including context layering and source grounding.
• Solid programming and data engineering capability (e.g., Python/R, SQL), with experience working on modern data platforms and analytics ecosystems.
• Ability to translate scientific, business, and operational rules into robust, reusable model logic that supports analytics, digital workflows, and AI enabled applications.
• Experience designing for interoperability and reuse across platforms and products, avoiding one off or locally optimized solutions.
• Strong communication and collaboration skills, with experience working in matrix environments and explaining complex modeling or architecture concepts in practical business terms.
• Additional InformationSyngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
• LI-Onsite.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

3D Animation, English, Thai

ประเภทงาน:

งานประจำ

• Early Years (The 3D Pen Explorers): Introduce young children to spatial thinking using 3D pens. You'll help them develop fine motor skills while "drawing" their own toys and structures in mid-air.
• Primary (The Tinkercad Creators): Teach the fundamentals of 3D geometry and "block-building" logic using Tinkercad.
• Secondary (The Fusion 360 Engineers): Guide older students through professional-grade parametric modeling in Fusion 360, focusing on functional parts and complex design ...
• The Lab (3D Printing): Oversee the "print farm" managing slicer software, changing filaments, and showing students how to troubleshoot their prints.
• Hands-On Facilitation: Assist in the delivery of workshops by providing guidance, fun, and creativity to students as they move from 2D drawing to 3D equipment.
• Lab Stewardship: Maintain a "Lab-ready" environment resetting workstations, organizing tools, and ensuring consumables (3D pen, filament, 3D board) are stocked and ready.
• The Troubleshooting Guru: Be the first responder for minor technical glitches, from clearing a nozzle clog to recalibrating 3D printer.
• Safety Watch: Act as a vigilant eye on the floor, ensuring all student are following "best practice" safety protocols to keep the lab a productive, injury-free zone.
• Who You Are
• A "Swiss Army Knife" Maker: You have a foundational grasp of multiple disciplines perhaps a mix of 3D pen and printing, basic Tinkercad program, mentoring, and kid friendly instructor.
• A Natural Problem-Solver: You don't wait for instructions when you see a messy workbench; you take initiative to keep the space professional.
• An Empathetic Teacher: You remember what it was like to be a beginner. You have the patience to explain a concept three different ways until it finally clicks for a student. Encourage student to redesign once they fail and learn the important word called Resilience .
• Schedule & Details.
• Time: After-school hours (2:00 PM - 5:00 PM).
• Commitment: Part-time / Full-time (Depend on ECA Schedule).
• Location: International/ Local School Campus (Bangkok).
• Software.
• High proficiency in Tinkercad and Fusion 360.
• Hardware.
• Hands-on experience with 3D pens and 3D printers.
• Versatility.
• The ability to switch gears from "play-based learning" with 3-year-olds to "technical coaching" with 11-year-olds.
• Patience.
• 3D printing involves trial and error; you should be great at turning "failed prints" into learning moments.
• Communication.
• Good command of writing and speaking English.
• How to Apply.
• Send your resume and a few photos of 3D projects (your own or your students') to [email protected].
• Safety First: As this role involves working with children, a valid background check/clearance is mandatory.