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dsm2h ago
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Scientist Cheminformatics & Machine Learning

Machine LearningData & AI
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Quick Summary

Key Responsibilities

to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day.

Technical Tools
Machine LearningData & AI
Job title: Scientist Cheminformatics & Machine Learning Location: Geneva, Switzerland Join dsm-firmenich’s Ingredient Modeling team to help build an AI-driven discovery engine for fragrance, taste, and more. In this role you’ll develop and deploy machine learning models - including LLMs and agents - and create intuitive apps that drive small-molecule design and pipeline prioritization. Collaborate with chemists, biologists, perfumers, and data scientists to blend computational chemistry with advanced data science, turning domain expertise into real impact. We’re looking for a strong cheminformatician fluent in Python, AI/ML, cloud platforms, and modern web/UI, with excellent communication skills to explain models and drive adoption in a fast-growing, collaborative team. Your key responsibilities * Design and implement cheminformatics algorithms and models to accelerate new ingredient discovery * Develop and optimize machine learning solutions using Python and key libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch) * Apply advanced neural network architectures to solve complex ingredient modeling challenges * Deploy, monitor, and maintain scalable machine learning workflows on cloud platforms (Azure, AWS) * Collaborate with cross-functional teams to translate scientific needs into practical, user-friendly tools * Leverage modern technologies (e.g., Git, generative AI, graph/relational data models, cloud-native systems, APIs) and stay current with emerging trends to drive innovation We offer * Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry * Highly motivated, professional and committed multicultural and interdisciplinary team * Opportunity to put your scientific skills into practice to drive innovation in health, nutrition and beauty * Grow and develop your skills through our in-house training courses * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology * A commitment to science-based innovations with 2000 scientists and more than 700 mln annual Science & Research investments You bring * Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence, or a related field * 2–5 years of academic or industry experience in cheminformatics and computational chemistry, ideally within fragrance, taste, pharmaceutical, or agricultural discovery * Proven track record of achievement, demonstrating strong drive and entrepreneurial innovation * Advanced proficiency in Python and core data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch) * Strong expertise in cheminformatics tools (e.g., RDKit) and solid understanding of machine learning and neural network techniques * Experience with modern development practices (e.g., Git, CI/CD, AI coding tools) and cloud platforms (Azure/AWS), combined with strong problem-solving and communication skills About dsm-firmenich At dsm-firmenich, we don’t just meet expectations – we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future. Because real progress only happens when we go beyond, together. Our application process Interested in this position? Please apply on-line by uploading your resume in English via our career portal (www.dsm-firmenich.com/careers). Due to privacy regulations, we can only actively interact with applications via our career portal. If you have any questions, please contact Ruslana Lohina-Kazimierczak, Talent Acquisition Business Partner (ruslana.lohina@dsm-firmenich.com). Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve. We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work. Agency statement We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.

Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
June 3, 2026
First seen
June 3, 2026
Last seen
June 3, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
June 3, 2026

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dsmScientist Cheminformatics & Machine Learning