Automated Chemical Synthesis Scientist – Shanghai

XtalPi Inc.

High Wycombe

On-site

GBP 44,000 - 88,000

Full time

14 days+

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Job summary

XtalPi is seeking overseas PhD talent in Chemistry and related disciplines to join our Shanghai-based Future Chemistry Division. This role combines synthetic chemistry expertise with cutting-edge automation and AI technologies, helping shape the future of intelligent chemical research and development.

As part of a multinational team, you will design synthesis plans, optimize automated platforms, and collaborate with AI R&D to implement data-driven workflows while ensuring high quality and timely

Qualifications

  • Ph.D. degree in Chemistry or related field with independent synthesis design skills.
  • Strong problem-solving and cross-functional collaboration abilities.
  • Fluent in English and Chinese; adaptable to fast-paced R&D environments.
  • Interest in automation and AI-enabled chemical synthesis.

Responsibilities

  • Design and develop synthesis plans for automated delivery on schedule.
  • Work with AI/R&D teams to optimize experimental plans.
  • Contribute to platform upgrades to improve throughput and stability.
  • Prepare SOPs and experimental reports for standardization.
  • Manage daily operation of automated synthesis systems and data integrity.
  • Coordinate with clients and maintain high-quality project delivery.
  • Identify environmental factors and implement control measures.

Skills

Project management
Automation interest
Problem solving
Bilingual English/Chinese

Education

Ph.D. in Chemistry or related

Job description

XtalPi is seeking overseas PhD talent in Chemistry and related disciplines to join our Shanghai-based Future Chemistry Division. This role combines synthetic chemistry expertise with cutting-edge automation and AI technologies, helping shape the future of intelligent chemical research and development.

As part of a multinational team, you will design synthesis plans, optimize automated platforms, and collaborate with AI R&D to implement data-driven workflows while ensuring high quality and timely

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