Postdoc: Computational Chemistry & AI-Driven Design

Syngenta

Schweiz

Presencial

CHF 110.000 - 140.000

Jornada completa

Hace 9 días

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Descripción de la vacante

Syngenta is seeking a highly motivated computational chemist to join the Computational Chemistry group at our R&D site in Stein, Switzerland. The postdoctoral position is offered on a two-year fixed-term contract and involves exploring AI/ML methodologies with traditional computational chemistry to accelerate molecular design of active ingredients.

You will work with a team to apply data-driven approaches and scalable computational design.

Formación

  • PhD in computational chemistry or related field.
  • Strong foundation in target- and ligand-based design.
  • Proficiency with HPC and distributed computing environments.

Responsabilidades

  • Support design of new active ingredients using computational techniques including data analysis, predictive modelling, molecular modelling and design strategies.
  • Collaborate with chemists, computational chemists, biologists and other experts to provide design inputs for chemical invention.
  • Drive technology development and promote the use of state-of-the-art methods across R&D.
  • Contribute to the continuous improvement of computational chemistry infrastructures, workflows and algorithm implementation.

Conocimientos

Target- and ligand-based design
Computational workflows
Python programming
Statistics and data analysis
Windows and Unix (batch/shell)
HPC and distributed computing
Cross-functional teamwork
Machine learning in chemistry
Advanced data analysis & visualization
Software development

Educación

PhD in computational chemistry or related field

Descripción del empleo

Syngenta is seeking a highly motivated computational chemist to join the Computational Chemistry group at our R&D site in Stein, Switzerland. The postdoctoral position is offered on a two-year fixed-term contract and involves exploring AI/ML methodologies with traditional computational chemistry to accelerate molecular design of active ingredients.

You will work with a team to apply data-driven approaches and scalable computational design.

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