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Job DescriptionCompany Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description We are seeking an innovative and highly motivated Translational Genomics AI/ML Scientist based in Durham, NC, to develop next-generation computational capabilities that connect advanced genomics, machine learning, and biological interpretation to real-world crop research and breeding decisions. This role will transform large-scale genomic and phenotypic data into scientific insight, predictive models, and reusable digital tools that accelerate trait discovery, improve genomic prediction, and support innovation across Seeds R&D. The successful candidate will work at the intersection of computational biology, AI/ML, bioinformatics, data science, and scientific product development. They will design methods for representing and learning from complex biological data, including genomic variation, gene annotations, expression data, pathways, phenotypes, and literature-derived evidence. This position requires a strong scientific foundation and the ability to translate ambiguous research questions into scalable analytical approaches, validated models, and practical decision-support capabilities. The role will collaborate closely with geneticists, breeders, molecular biologists, data scientists, software engineers, and product teams to ensure that advanced computational methods are scientifically meaningful, technically robust, and adopted by research users. The ideal candidate is a creative, hands-on scientist who combines deep expertise in genomics or computational biology with modern AI/ML skills and a passion for applying emerging technologies to high-impact biological problems. They can move fluidly between research innovation, method development, scalable implementation, stakeholder communication, and strategic scientific problem solving. Accountabilities • Lead the scientific design and delivery of AI/ML-enabled genomics capabilities that translate large-scale genomic, phenotypic, and biological datasets into actionable insights for trait discovery, genomic prediction, and breeding decisions., • Develop, validate, and operationalize advanced computational methods, including graph machine learning, foundation models, knowledge graphs, and explainable AI approaches, ensuring they are scientifically rigorous, reproducible, and fit for research and product adoption., • Build scalable bioinformatics and machine-learning workflows that integrate genomic variation, annotations, expression data, pathways, phenotypes, and literature-derived evidence across cloud and enterprise data platforms., • Advance computational genomics approaches by creating scalable representations, feature-engineering strategies, and predictive models that capture biological complexity and support research decision-making., • Partner with geneticists, breeders, molecular biologists, data scientists, software engineers, and product teams to translate complex biological questions into practical analytical solutions and reusable digital capabilities., • Communicate methods, assumptions, results, limitations, and biological interpretation clearly to technical and non-technical stakeholders, enabling confident scientific decision-making., • Drive innovation by identifying emerging AI/ML, genomics, and scientific-computing approaches that can accelerate discovery, improve predictive performance, and strengthen Syngenta’s digital genomics platforms., • Ensure solutions follow good scientific, data governance, engineering, and reproducibility practices, including clear documentation, version control, model validation, and transparent handover to collaborators or product teams.Qualifications Required Qualifications • PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related discipline., • Strong background in genomics, quantitative genetics, population genetics, or computational biology., • Demonstrated expertise in machine learning and statistical modeling with proficiency in Python and scientific computing., • Experience working with large-scale biological datasets., • Strong publication or research track record in computational genomics, AI/ML, or a related field., • Excellent communication and collaborative problem-solving skills. Desired Qualifications We’re especially interested in candidates who bring experience in one or more of the following areas: • Genomics and graph-based genomic representations, including GNNs, GATs, graph embeddings, or network analytics., • Foundation models, transformers, DNA language models, or biological large language models., • Knowledge graphs, semantic technologies, biological ontologies, or AI-assisted scientific research workflows., • Cloud computing and production AI environments, including AWS, SnowFlake, distributed computing, or MLOps., • Plant genomics, breeding, crop science, or agricultural biotechnology. Additional Information • Authorized to work in the U.S. without sponsorship What We Offer • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 4A #LI-HYBRID #LI-LM2

Job DescriptionCompany Description About Syngenta At Syngenta Seeds Field Crops, we’re shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description We are seeking an innovative and highly motivated Senior Cloud Engineer / Technical Lead based in Durham, NC, to provide hands-on engineering leadership across cloud platforms, data enablement, infrastructure automation, observability, high-performance computing, and laboratory modernization. In this role, you will design and deliver secure, scalable, and supportable capabilities across AWS, Snowflake, Terraform Cloud, Datadog, SageMaker, AWS ParallelCluster, and hybrid infrastructure. This opportunity is ideal for a senior engineer with 4–6+ years of relevant technical experience who can execute strategy autonomously, lead technical workstreams, solve complex problems, contribute to new solutions, and influence outcomes across A&DS / RDIT and at least one additional global or regional function. Accountabilities: As the Senior Cloud Engineer / Technical Lead, you will: • Cloud & Hybrid Infrastructure: Design, engineer, and support secure, resilient, and scalable AWS and hybrid-infrastructure solutions across compute, storage, networking, identity, security, databases, and container platforms., • Infrastructure Automation: Lead infrastructure automation through Terraform Cloud, including reusable modules, workspace patterns, policy controls, CI/CD integration, and migration from manually managed environments., • Data Platform Enablement: Enable and support Snowflake workloads by designing integrations for networking, identity, data movement, monitoring, governance, and operational readiness., • Observability & Reliability: Establish observability and reliability practices using Datadog and AWS monitoring, including dashboards, service indicators, alerting, logging, performance analysis, and incident-response improvements., • HPC, AI/ML & Research Computing: Deliver technical solutions for high-performance computing, AI/ML, and research-computing needs, including AWS ParallelCluster, Slurm, FSx, SageMaker, scientific pipelines, and scalable workload patterns., • Laboratory Modernization: Lead technical workstreams supporting laboratory modernization by translating laboratory device and workflow needs into secure cloud, network, storage, security, and support designs., • Technical Leadership: Provide technical leadership through architecture reviews, mentoring, design guidance, risk and dependency management, and resolution of complex incidents, reliability issues, and cost-optimization opportunities., • Cross-Functional Partnership: Partner with engineering, research, data, cybersecurity, network, laboratory, vendor, and leadership stakeholders to communicate technical recommendations, drive adoption of standards, and deliver operationally supportable solutions.Qualifications Required: • Bachelor’s degree or equivalent experience in a relevant technical discipline., • 5+ years of relevant technical experience in cloud engineering, infrastructure engineering, DevOps, platform engineering, systems engineering, or a related technical field., • Advanced hands-on AWS and Terraform Cloud engineering experience., • Advanced hands-on Python coding experience., • Experience supporting Snowflake, Datadog, hybrid infrastructure, and container platforms., • Strong knowledge of cloud networking, IAM, security, storage, databases, and operational resilience., • Demonstrated ability to lead technical workstreams, troubleshoot complex problems, and communicate effectively with senior stakeholders. Preferred: • Experience with AWS ParallelCluster, Slurm, SageMaker, GPU workloads, or scientific computing., • Experience in laboratory, research, life sciences, or high-volume data environments., • Knowledge of FinOps, service management, disaster recovery, security governance, and vendor engagement., • Experience with hybrid connectivity between on-premises environments and AWS., • Relevant AWS, HashiCorp, Snowflake, Datadog, Kubernetes, or Linux certification Additional Information • Candidates must reside in and be permanently authorized to work in the United States. What We Offer: • A culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts on your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 5B #LI-HYBRID #LI-LM2

Job DescriptionCompany Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description As a Protein Design Scientist, you leverage an AI-first approach, utilizing protein language models (pLMs) and generative sequence design to explore sequence-function relationships and pioneer next-generation agricultural traits. As an Applied ML Scientist, you are a hypothesis-driven scientist who leverages and adapts open-source machine learning models to biological data, addressing complex biological questions where data may be sparse and expensive to generate. You are also a collaborative team player who thrives in the dry-to-wet lab loop by turning agricultural and trait challenges into practical machine learning hypotheses and projects, while translating complex ML concepts and outputs into clear, practical suggestions for diverse stakeholders. Position will be located at Durham, North Carolina with an opportunity for remote work. Accountabilities: • Design & Optimize: Formulate biological hypotheses and design computational workflows for large scale variant design and property prediction to accelerate trait discovery, • Deploy ML Models: Implement, adapt, and tune state-of-the-art biomolecular ML models—including single-sequence LMs, generative models, co-evolutionary aware architectures, and 3D structural prediction models—to drive innovative projects for the trait pipeline, • Collaborate Cross-Functionally: Partner closely with wet-lab research teams to design variant libraries, leveraging active learning and Bayesian optimization to iteratively integrate experimental screening data into design loops, • Communicate Insights: Communicate complex deep learning concepts, protocols, and project progress clearly to technical and non-technical stakeholders, • Innovate: Monitor the rapidly changing protein design literature and bring promising new tools and project ideas to the team Qualifications, • PhD with +1-year experience in bioinformatics, computational biology, biochemistry & biophysics, or a related field with a focus on protein sequence or structure modeling, • ML and pLM Experience: Demonstrated hands-on experience developing, adapting, or fine-tuning machine learning models for protein sequence design, variant library generation, protein property prediction, or related biomolecular engineering tasks, • Protein Science Expertise: Deep understanding of protein sequence-structure-function relationships, • Scientific Problem Solving: Proven ability to transform complex biological challenges into actionable, ML/DL computational hypotheses to support the trait pipeline, • Collaborative Communication: Strong communication skills with a track record of working effectively alongside experimental/wet-lab scientists, • ML & Deep Learning Engineering: Experience working with Python and deep learning libraries (like PyTorch or JAX) to adapt or fine-tune open-source models Desired Qualifications: • Structural Integration and biophysics: Experience integrating protein structural information, including structure prediction models (AlphaFold, Boltz), structure-aware design methods (ProteinMPNN, GNNs, structure-conditioned pLMs, Foldseek 3Di), or physics-based approaches (Rosetta, molecular dynamics) to augment sequence-based design and prediction workflows., • Wet-Lab History: Strong familiarity of or experience in wet-lab workflows—either in library design or generating screening data for model training or validating designed variants (e.g., protein characterization)—to facilitate seamless communication with experimental partners, • Compute and data: Familiarity querying large-scale biological datasets, working in cloud environments (AWS, HPC), and utilizing containerized workflows (Docker, Singularity, Nextflow), • Industry Experience: Prior experience in agricultural biotechnology, plant biology, or a strong interest in translating computational protein design to crop science Additional Information What We Offer: • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 4B #LI-ONSITE #LI-KR1

Job DescriptionCompany Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description This role is responsible for leading a team of scientists focused on transgenic event generation and the development of innovative crop genetic engineering capabilities to enhance major field crops. As a key leader within the organization, the position advances Syngenta’s genetic engineering technologies that support both genetically modified (GM) and genome-edited (GE) crop development, while driving the creation and implementation of novel approaches that deliver high-quality trait products with speed, efficiency, and scientific rigor. The Senior Scientist applies advanced scientific principles and state-of-the-art technologies to develop new genome engineering and transgene expression solutions that strengthen biotech trait research and development programs. Additionally, the role is responsible for developing new methods and protocols, integrating emerging technologies, and continuously improving the team's capabilities and operational efficiency to accelerate innovation and product advancement. Accountabilities: • Leads a team of scientists in transgenic event generation and the development of novel crop genetic engineering capabilities for improvement of major field crops, • Provides scientific expertise and leadership required to design and deliver studies defined by a group, project, or supervisor., • Develops new methods and protocols and brings new cellular and molecular technologies to improve function capability and efficiency, • Be responsible for initiating, evaluating, and implementing changes to established protocols or systems, • Delivers results in fast changing business and/or regulatory environments, • Uses best practices and knowledge to improve capabilies, process or service, • Contributes to product, process or service improvements Qualifications, • Ph.D. degree with 6+ years of hands-on experience in plant molecular biology and genetic engineering or related biotechnology experience, • Experience in leading a team in research operation environment, • Experience in working with research collaborators and partners, • Experience in genomics, molecular biology and gene editing technologies, • Excellent track record of delivering research and innovation through journal publications or patent applications Desired Qualifications: • Rich experience in recombinant DNA technology, cellular biology, microbiology, genome editing, plant transformation, • Excellent experience in plant development, plant physiology, plant breeding, genetics, applied genomics, biochemistry and agricultural biotechnology, • Excellent analytical and communication skills in interpreting and presenting study results, • Proficiency in use of standard software (e.g., Excel and PowerPoint); familiarity with applied genomics tools, bioinformatics tools, NGS analysis and DNA manipulation software, • Demonstrated experience in leading a dynamic technical team, • Demonstrated problem-solving ability in the context of recombinant DNA technology and genetic engineering technology development, • Flexibility in handling new job assignments and achieve results in a rapidly changing work environment, • Communicate effectively with individuals across the organization and across business units; strong collaboration skills and ability to influence without authority, • Ability to lead technology development independently, deliver high-quality results with data-driven interpretation and work in a fast-changing environment with dynamic priority shifting Additional Information What We Offer: • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 4A #LI-Onsite #LI-KR1

Job DescriptionCompany Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description This role contributes to the development and execution of short-, mid-, and long-term functional strategies while providing scientific, technical, and product expertise to support team goals and key focus areas, particularly within monocot crops such as maize. The individual is responsible for initiating, evaluating, and implementing improvements to established processes and protocols to drive operational excellence and innovation. In addition, the role includes supervisory responsibilities, providing leadership to the team, effectively managing projects and stakeholder relationships, and influencing cross-functional teams both internally and externally. The position also ensures compliance with Syngenta's Health, Safety, and Environment (HSE) standards, biosafety requirements, regulatory obligations, and budgetary controls to support safe, compliant, and efficient business operations. Accountabilities: • Lead the timely delivery of GM/GE trait pipelines, project goals and milestones in the controlled growth environments (greenhouses and growth chambers), • Lead team activities to plan, coordinate and execute multi-disciplinary early-stage projects with major field crops such as maize and soybean, • Lead year-round maize stock production for immature high-quality embryos to support transformation, • Operate and continuously upgrade state-of-the-art plant growth facility to meet evolving business needs, • Constantly improve existing pipeline processes and procedures, • Have the foresight to propose and lead innovation projects and think outside the box, • Effective communications and engagement with key stakeholders across a wide range of Traits R&D organization within and outside the company, • Provide high quality practical advice and judgments to others by applying broad knowledge and prior experience, • Syngenta HSE, biosafety and regulatory compliance, • Occasionally work over the weekends and holidays when neededQualifications, • A Ph.D. degree with a minimum of 10 years relevant experience in crop sciences; or a M.Sc. degree with a minimum of 15 years relevant experience in crop sciences; or a B.Sc. degree with a minimum of 20 years relevant experience in crop sciences, • Substantial experience in crop improvement, trait development, and seed production, • Able to plan and implement activities over a number of months, • Knowledge in agronomy, genetics, plant breeding, plant physiology, molecular biology, and statistics, • Working knowledge of greenhouse facility, equipment and operations Desired Qualifications: • Experience working with GM/GE regulated materials, • In-depth experience in responding to non-routine situations and to choose the best solution from a range of options, • Proficiency in use of standard Microsoft office software and databases, • Experience in leading and influencing staff, ability to deal with and influence cross functional teams, • Experience in supervising and coaching junior scientists, • Computer skills such as working with databases, environmental controls, and Microsoft Office, • Familiar with the environmental control and automation system such as Argus Additional Information What We Offer: • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 4A #LI-ONSITE

Production LeadWe are seeking a highly motivated and experienced Production Lead to join our team. Excellent leadership and team management skills. Skills:Production managementProduction supervisorLogisticsShipping and receivingWarehouse management systemE-commerceTeam managementMechanical knowledge

Job DescriptionCompany Description At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description The R&D Infrastructure Lead supports the effective operation and continuous improvement of infrastructure programs, systems, standards and asset information across the global R&D Seeds network. The role provides technical support for maintenance practices, infrastructure systems, HSE processes, data quality, reporting alignment, and infrastructure planning. The position works with regional and site teams to improve consistency, address facility and maintenance issues, strengthen asset management practices, identify infrastructure risks and replacement needs, and provide information that supports site plans and investment priorities. Accountabilities: • Serve as the primary business administrator and super user for Brady360, reporting tools, and related infrastructure platforms. Maintain standards, support users, coordinate testing, manage system issues, and collaborate with IT and vendors on improvements., • Support preventive maintenance standards, asset hierarchies, job plans, work order processes, asset criticality assessments, and maintenance data management. Assist regional and site teams in evaluating recurring facility and equipment issues and identifying practical improvement opportunities., • Support facility and infrastructure-related safety and compliance activities, including Lockout/Tagout (LOTO), documentation reviews, audit preparedness, training materials, and corrective action follow-up. Partner with HSE and site teams to identify gaps, share best practices, and drive continuous improvement., • Apply approved data requirements and routinely review asset, preventive maintenance, work order, inventory, and infrastructure records. Identify missing, duplicate, or inconsistent information and work with regional teams to resolve data quality issues., • Support the implementation of approved KPI definitions and reporting requirements. Validate reports against source systems, investigate discrepancies, and coordinate corrective actions with regional, reporting, and IT teams., • Assist with facility condition assessments, asset lifecycle reviews, replacement forecasting, and site infrastructure planning. Provide technical input to help regional teams define needs, assess risks, prioritize projects, and develop preliminary capital investment scopes., • Support the development and implementation of infrastructure standards. Create procedures, checklists, audit tools, job aids, and training materials while providing coaching and guidance to regional and site teams., • Provide targeted support for facility, maintenance, systems, data, and infrastructure planning challenges. Connect regional teams with the appropriate technical, HSE, IT, reporting, or vendor resources when specialized expertise is needed.Qualifications, • 10+ years of hands-on technical experience in facilities, maintenance, engineering, reliability, utilities, building systems, construction, or infrastructure., • Working knowledge of mechanical, electrical, controls, utilities, and general facility systems., • Experience using CMMS/EAM systems, including preventive maintenance programs, work order management, asset records, and maintenance data., • Experience supporting safe maintenance practices and collaborating with HSE and site teams to ensure compliance and operational safety., • Ability to assess facility and asset conditions, identify risks, and translate findings into actionable priorities and improvement plans., • Strong analytical, data management, auditing, reconciliation, and Microsoft Excel skills. Desired Qualifications: • Ability to clearly communicate technical information and effectively collaborate across regions, functions, and matrix organizations., • Willingness and ability to travel to R&D sites and work within active facility and maintenance environments., • Technical degree, trade certification, apprenticeship, military technical training, or equivalent hands-on experience., • Experience supporting facilities and infrastructure operations across multiple locations, regions, or countries., • Experience with Brightly Asset Essentials, Brady360, SAP, Power BI, or other CMMS/EAM and reporting platforms., • Experience with facility condition assessments, asset lifecycle planning, site infrastructure planning, compliance reviews, or maintenance program optimization. Additional Information What We Offer: • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs., • Full Benefit Package (Medical, Dental & Vision) that starts your first day., • 401k plan with company match, Profit Sharing & Retirement Savings Contribution., • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta 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. WL 4A #LI-Onsite #LI-KR1