Alle Jobs.
Ein Ort.

This role focuses on identifying manual bottlenecks in digital processes within Fragrance S&T and replacing them with automated, data-driven solutions. You will lead the digital transformation and evolution at Givaudan in Fragrance S&T, accelerating research and decision-making through modern AI tools and predictive models.

• Lead digitalisation, automation and data science projects within Fragrance S&T, in collaboration with scientists and IT.
• Integrate modern AI tools like LLM and predictive models (QSAR, QSOR) into existing and new applications to accelerate decision-making for research, such as designing new molecules, new complex systems, and optimising processes for more efficient and effective solutions.
• Scout and implement modeling tools facilitating scale up activities and other research opportunities.
• Align with corporate IT and collaborators to deploy solutions to production or other Givaudan infrastructure.
• Configure, deploy and integrate third party tools to facilitate daily research, development and industrialisation tasks.
• Design exploration applications and data pipelines to capture, analyse and visualise data generated across diverse research activities, including finding links between CoE’s.
• Provide expertise, guidance and training to scientists (Fragrance S&T community) for data analysis and data visualisation.
• Follow-up the deployment of solutions directly with end users to address change management, bug-fixing and improvements in user experience, in close collaboration with IT.
• Analyse and further improve existing workflow and processes.
• Collaborate tightly with scientists & labs to identify and replace manual bottlenecks in digital processes with automated workflows across the research organization.
• Engage teams in adopting new and efficient ways of working.
• Keep the S&T organisation up to date with latest best practice in the field.

• Degree (MSc, PhD) in a Life Science discipline (Chemistry, Chemoinformatic, Biology).
• 10+ years of experience in a research informatics environment.
• Proven track-record of successfully implementing research informatics projects.
• Strong experience in software development and machine learning with Python, combined with solid expertise in system architecture, SQL/database design, and integration with complex web APIs.
• Capable of working effectively in Linux environments when needed.
• Understanding of core cheminformatics principles (chemical structure formats, chemical structure searching, fingerprints, descriptors, complex formulations).
• Understanding of hard chemical data with human responses across psychological, physiological and sensorial, and Ontologies (knowledge graph expertise) is a plus.
• Willingness to learn new tools and technical skills.
• Strong communication and decision-making skills across diverse stakeholder groups.
• A knowledge of best practice within the current University ecosystem.

• Excellent opportunities for progressive learning and development.
• 40 hour working week.
• Additional paid days off.
• Favourable pension fund contributions.
• Subsidized meals in the staff restaurant.
• Sport and leisure club (amenities/showers on site).
• Discounts at the company shop.
• Worldwide private accident coverage and free choice of hospital.

Givaudan delivers food innovations, crafts inspired fragrances, and develops beauty and wellbeing solutions that make people look and feel good. With more than 17,000 employees around the world, Givaudan values diverse perspectives and welcomes everyone, regardless of race, gender identity, sexual orientation, age, disability, culture, religion, or any personal circumstances.