ML Scientist: Ingredient Discovery & Molecule Design

dsm-firmenich; Princeton (NJ); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Paid time off

Retirement plan

Job summary

dsm-firmenich is seeking a Data Scientist to develop ML models for ingredient discovery and design, integrating AI with chemistry and biology. You will work in the Ingredient Modeling team, collaborating with chemists, biologists and perfumers to transform molecule discovery into scalable modeling tools.

The role requires a PhD and 2–5 years of related experience, strong Python skills, and experience with RDKit.

Qualifications

• Ph.D. in Cheminformatics or Computational Chemistry, or related field.
• 2–5 years of experience in cheminformatics and computational chemistry, preferably applied to ingredient discovery or sensory biology.
• Strong proficiency in Python and data science libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras).

Responsibilities

• Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates value for taste, texture and health segments.
• Develop and implement machine learning models to support ingredient discovery processes.
• Use Python and libraries (e.g., NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras) to build and optimize ML models.
• Apply neural network architectures and multi-objective optimization to solve ingredient design problems including exploration of chemical space; deploy and manage ML workflows on Azure and AWS.
• Stay abreast of ML, neural networks and cheminformatics advancements and apply them to drive innovation within the team.
• Utilize tools such as git, generative AI, agentic workflows, graph and relational data models, cloud-native computing and API endpoints in daily work.
• Collaborate with data scientists, chemists, biologists and perfumers to translate scientific requirements into scalable and user-friendly modeling tools and drive project success.

Skills

Python

Data science libraries

ML/AI

Team collaboration

Communication

Education

Ph.D. in Cheminformatics

Ph.D. in Computational Chemistry

Tools

RDKit

Azure

AWS

Git

TensorFlow

PyTorch

Keras

Job description

dsm-firmenich is seeking a Data Scientist to develop ML models for ingredient discovery and design, integrating AI with chemistry and biology. You will work in the Ingredient Modeling team, collaborating with chemists, biologists and perfumers to transform molecule discovery into scalable modeling tools.

The role requires a PhD and 2–5 years of related experience, strong Python skills, and experience with RDKit.