Postdoctoral fellow - Computational Chemistry (m/f/d)

Syngenta; Stein (AR); Presencial; CHF 90 000 - 120 000; Tempo integral

Resumo da oferta

Syngenta is seeking a highly motivated postdoctoral computational chemist to join our Computational Chemistry group at the R&D site in Stein, Switzerland. You will apply computer-aided design and molecular modelling to drive innovative design of active ingredients and explore AI/ML approaches alongside traditional computational chemistry methods.

The two-year fixed-term contract requires strong collaboration across chemists and biologists, as well as enthusiasm for developing scalable

Qualificações

• 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 both Windows and Unix operating systems, including batch/shell scripting and CLI automation.
• Demonstrated experience with High-Performance Computing (HPC) and distributed computing environments.
• Demonstrated ability to work effectively in cross-functional teams.

Responsabilidades

• Support design of new active ingredients by using computational techniques that include data analysis and predictive modelling, molecular modelling, structure- and ligand-based design
• Work with chemists, computational chemists, biologists and other experts to devise strategies on how best to use data and provide design inputs to support chemical invention.
• Work with computational chemistry colleagues across R&D to drive technology development and promote the use of state-of-the-art methods.
• Contribute to the continuous improvement of computational chemistry infrastructures, workflows and algorithm implementation.

Conhecimentos

Python

HPC

Molecular modelling

Ligand-based design

Structure-based design

Cheminformatics tools

Windows & Unix

Batch scripting

Data analysis

Python programming

Team collaboration

Formação académica

PhD in computational chemistry

Ferramentas

Python

Unix

Linux

HPC software

Descrição da oferta de emprego

Company Description ##

As a world market leader in crop protection, we help farmers protect their crops and ensure enough safe, nutritious and affordable food for all, while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.

Health Promotion Switzerland recognizes Syngenta's commitment to the health and well-being of its employees and awards the "Friendly Work Space" label to all its Swiss sites. At Syngenta, employee health and well-being are key to the company.

Job Description ##

We are looking for a highly motivated computational chemist to join the Computational Chemistry group at our R&D site in Stein, Switzerland. With strong expertise in computer-aided chemical design and molecular modelling, you will drive innovation in our molecular design processes. As part of your professional development, you will have the opportunity to explore and integrate AI/ML methodologies with traditional computational chemistry approaches to accelerate and improve molecular design of active ingredients. Strong teamwork, excellence in computational design, and the willingness to translate innovative scientific concepts into scalable solutions are essential.

This postdoctoral position is offered on a two-year fixed-term contract.

Accountabilities:

• Support design of new active ingredients by using computational techniques that include data analysis and predictive modelling, molecular modelling, structure- and ligand-based design
• Work with chemists, computational chemists, biologists and other experts to devise strategies on how best to use data and provide design inputs to support chemical invention.
• Work with computational chemistry colleagues across R&D to drive technology development and promote the use of state-of-the-art methods.
• Contribute to the continuous improvement of computational chemistry infrastructures, workflows and algorithm implementation.

Qualifications ##

Required Skills:

• 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 both Windows and Unix operating systems, including batch/shell scripting and CLI automation
• Demonstrated experience with High-Performance Computing (HPC) and distributed computing environments
• Demonstrated ability to work effectively in cross-functional teams

Additional Expertise:

• Machine learning concepts and their applications in chemistry
• Advanced data analysis and visualization techniques
• Software development

Additional Information ##

• We provide access to state-of-the-art research facilities and technologies, enabling you to apply and expand your expertise in computational design and active ingredient optimization.
• We cultivate a dynamic and intellectually stimulating working environment, with an open culture and diverse workforce, where new ideas are always welcome. We embrace flexible work arrangements and foster work-life balance.
• We are part of a strong regional Science hub, offering you the opportunity to interact with a rich community of scientists in life sciences, further enhancing your professional network and knowledge exchange.

Are you interested? Please send your complete application with CV and cover letter in English.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status