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AE_Lab technician II

Job ID: 40605  |  Location: Shanghai, Shanghai, China

 

Responsibilities:

  • R&D activities in creating innovative performance additives and waxes solutions, e.g. stabilizer, RBW. Focus on new chemicals development, testing protocols, and performance optimization.
    • Design and execute lab and scaling up experimental studies for development of new performance additives and waxes
    • Design and conduct samples preparation and analysis (GC, spectrophotometry, FTIR, ICP, TGA, titration etc.)
    • Evaluate experimental & analysis results, present solutions in verbal and tech documentation
  • Product expert activities in performance additives and waxes solutions
    • Support plant QC continuous improvement and new products development
    • Contribute to customer support, e.g. QNS treatment

 

Requirements:

  • BSc or above in chemistry, polymer science, or related field
  • 3+ years chemistry lab experience
  • Strong instrumental & chemical analysis skills
  • Statistical analysis
  • Technical writing
  • English as working language

 

Our Offer:

  • A rewarding challenge to further develop your skills in a professional work environment
  • Career development within our organization
  • Possibilities to expand your knowledge, expertise, and language skills in an attractive, global working environment.
  • Competitive benefits, e.g., company shuttle bus, working meal, transportation allowance, supplementary medical insurance, annual physical examination, annual leave, annual sick leave.  We’ll be happy to share more information during recruitment process.
  • Performance related yearly bonus
  • Hybrid work model
  • Differential integrational occasions, e.g, Annual Dinner, or Family Day, or Outing, or Social Clubs, or inhouse GYM.

 

Your Contact:

Shen.Zhang@clariant.com

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Navigance supports chemical production processes with advanced data analytics and the latest AI-based tools in an easy to use web-based interface, so that our customers reach optimal performance of their plants and improve sustainability. We do this by guiding operators, partnering with plant engineers and supporting production managers to reach their goals. We use a unique combination of data modeling know-how, machine learning and catalytic process expertise to build and deliver customer-specific process models in a cloud-based platform. Our team consists of process engineers, data scientists, software developers and market experts.

 

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