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 BenefitsThe 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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