Senior Process Chemist
Syngenta Group
HuddersfieldOn-sitefull timeProduction & SupplyPosted 1mo agoEarly applicant likely
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Join our dynamic Chemical Manufacturing team as a Senior Process Chemist, where you'll drive process optimization and innovation in active ingredient production. This role combines hands-on laboratory work with data-driven decision making to enhance our manufacturing processes, improve efficiency, and deliver sustainable solutions.
Key Responsibilities:
- Plan, prepare and carry out chemical experiments on new and existing active-ingredient processes, up to multi-kilo scale.
- Support the adoption and effective use of laboratory automation, digital tools and structured data practices; apply prior automation experience to identify suitable opportunities and help build team capability.
- Generate and lead improvement projects from planning through implementation
- Communicate with cross-functional teams to exchange information and progress development work
- Maintain detailed documentation in lab notebooks and technical reports
- Ensure compliance with site, company, and regulatory requirements
- Contribute to innovation through knowledge sharing and proactive idea development
- PhD in Chemistry OR Masters in Chemistry with 2+ years industrial experience
- Excellent practical skills in experimental and analytical techniques
- Strong problem-solving abilities and analytical thinking
- Experience with literature searching and information systems
- Proven ability to plan work independently over extended periods
- Effective communication skills across various formats and cross-functional teams
- Strong focus on safety and compliance
- Digital chemistry knowledge (automation, coding, large language models)
- Statistical analysis expertise
- Process development experience
- Analytical method development capabilities
About Syngenta Group
Syngenta Group conducts agricultural research and development that relies on advanced computing infrastructure. The company hires engineering and technology leaders to build and manage the AI systems, high-performance computing platforms, and IT infrastructure that support their R&D scientists' work.
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