Postdoc: Computational Chemistry with AI/ML & HPC

Syngenta

Stein

On-site

CHF 90,000 - 130,000

Full time

4 days ago
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Job summary

Syngenta is seeking a highly motivated computational chemist to join the R&D Computational Chemistry group at our Stein site, Switzerland. You will drive molecular design using data analysis, molecular modelling and integration of AI/ML methods to accelerate active ingredient development.

The two-year fixed-term postdoctoral position emphasizes collaboration across chemists, biologists and computational scientists to translate concepts into scalable solutions and advance computational design in

Qualifications

  • PhD in computational chemistry or related field.
  • Strong foundation in target- and ligand-based design.
  • Proficiency with state-of-the-art computational chemistry/cheminformatics packages.
  • Experience with computational workflows.
  • Working knowledge of Python programming.
  • Basic understanding of statistics and data analysis.
  • Proficiency in Windows and Unix including batch/shell scripting and CLI automation.
  • Experience with HPC and distributed computing environments.
  • Demonstrated ability to work effectively in cross-functional teams.

Responsibilities

  • Support design of new active ingredients using computational methods, data analysis and predictive modelling.
  • Collaborate with chemists and biologists to provide design inputs for chemical invention.
  • Work with R&D teams to drive technology development and promote state-of-the-art methods.
  • Contribute to the continuous improvement of computational chemistry infrastructures and workflows.

Skills

Python programming
Data analysis
Statistics
Windows & Unix
Batch/shell scripting
CLI automation
HPC environments
Cross-functional teamwork

Education

PhD in computational chemistry or related field

Tools

HPC environments

Job description

Syngenta is seeking a highly motivated computational chemist to join the R&D Computational Chemistry group at our Stein site, Switzerland. You will drive molecular design using data analysis, molecular modelling and integration of AI/ML methods to accelerate active ingredient development.

The two-year fixed-term postdoctoral position emphasizes collaboration across chemists, biologists and computational scientists to translate concepts into scalable solutions and advance computational design in

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