Postdoc - Computational Chemistry & AI-Driven Molecule Design

Syngenta Group; Stein; On-site; CHF 85,000 - 120,000; Full time

Benefits offered by this job

Friendly Work Space label (Switzerland

Access to state-of-the-art facilities

Flexible work arrangements

Open culture and diverse workforce

Job summary

Syngenta Crop Protection in Stein, Switzerland, is seeking a Postdoctoral fellow in Computational Chemistry to advance molecular design with AI/ML methods integrated with traditional approaches. The role focuses on data-driven discovery of active ingredients and scalable computational workflows in an R&D setting.

The two-year fixed-term contract requires a PhD in computational chemistry or related field, strong design fundamentals, and experience with HPC and modern cheminformatics tools.

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 OS, 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 techniques, data analysis, predictive modelling, and molecular modelling.
• Collaborate with chemists, computational chemists, biologists and other experts to provide design inputs for chemical invention.
• Work with computational chemistry colleagues across R&D to drive technology development and promote state-of-the-art methods.
• Contribute to continuous improvement of computational chemistry infrastructures, workflows and algorithm implementation.

Skills

Target- and ligand-based design

Python programming

Statistics & data analysis

Cross-functional collaboration

HPC & distributed computing

Windows & Unix CLI

Education

PhD in Computational Chemistry or related field

Tools

Chemoinformatics packages (RDKit/OpenEye)

Computational workflows

Batch/shell scripting & CLI

Job description

Syngenta Crop Protection in Stein, Switzerland, is seeking a Postdoctoral fellow in Computational Chemistry to advance molecular design with AI/ML methods integrated with traditional approaches. The role focuses on data-driven discovery of active ingredients and scalable computational workflows in an R&D setting.

The two-year fixed-term contract requires a PhD in computational chemistry or related field, strong design fundamentals, and experience with HPC and modern cheminformatics tools.