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R&D Manager

Job ID: 40606  |  Location: Shanghai, Shanghai, China

 

Responsibilities:

  • R&D activities in creating innovative performance additives solutions, e.g. stabilizers. Focus on new chemicals development, testing protocols, and performance optimization.
    • Collaborate with marketing, production, and regulatory affairs teams
    • Develop innovation project proposals based on market needs identified, Establish technical objectives, project timelines, and resource allocation
    • Monitor scientific advancements, regulatory changes, and market trends
    • Develop relationships with academic and industry partners
    • Manage intellectual property development and protection
    • Ensure compliance with safety and environmental regulations
  • Product expert activities in polymer additives
    • Lead new products development
    • Responsible for production support and customer support

 

Requirements:

  • PhD in chemistry, polymer science, or related fields
  • 3+ years chemistry R&D lab experience
  • Project management skills
  • 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.


 

Apply now »