Cheminformatics Scientist

Givaudan Flavors Science & Technology is looking for a Cheminformatics Scientist to join a versatile team advancing flavor ingredient discovery. You will apply cheminformatics, machine learning, and AI to develop novel aroma and taste molecules while collaborating across research teams to build data-driven discovery workflows.

Your Title: Cheminformatics Scientist

Your Location: Onsite (Givaudan facility)

You Will Report To: Flavors Science & Technology Computational Sciences Lead

Responsibilities

• Design and implement cheminformatics algorithms and workflows to accelerate flavor ingredient discovery across aroma and taste modalities.
• Develop, validate, and deploy predictive models using QSAR, machine learning, artificial intelligence, and 2D/3D computational approaches for small-molecule analysis and property prediction.
• Apply statistical, cheminformatics, and machine learning methods to improve hit identification and hit-to-lead processes.
• Collaborate with chemistry and research teams to integrate AI/ML and cheminformatics into DMTA workflows.
• Enhance databases and computational pipelines to support data-driven research.
• Develop computational tools, visualizations, and analytical programs for molecular data analysis.
• Communicate scientific insights across teams and support collaboration.
• Provide mentoring and promote best practices in data integrity, reproducibility, and FAIR data principles.

Your Professional Profile Includes

• PhD or Master's degree in Cheminformatics, Computational Chemistry, Chemistry, or a related discipline.
• Expertise in structure-based drug design (SBDD), including docking, pharmacophore modeling, virtual screening, and molecular dynamics.
• 3+ years of experience with ligand-based modeling (QSAR, 2D/3D virtual screening) and protein modeling (e.g., homology modeling, protein-protein docking).
• Data science and statistical analysis skills, including exploratory data analysis and model validation.
• Advanced programming skills in Python or R, plus proficiency in an additional language, following coding best practices.
• Experience with cheminformatics tools (e.g., RDKit, OpenEye) and molecular analysis techniques such as library enumeration, similarity analysis, clustering, and dimensionality reduction.
• Industry familiarity with SQL/databases, analytics tools (KNIME, Spotfire, Shiny), and NLP/LLMs in scientific contexts; relevant industry experience.

Compensation and Benefits

The established salary range for this position is $80,000-120,000k, depending on individual qualifications and experience. Employees receive medical, dental, and vision coverage, along with a high-matching 401(k) retirement plan.

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