dsm-firmenich · 3 days ago
Associate Principal Scientist, Data Science (Virtual Screening & Receptor Biology) - Princeton, NJ
Princeton, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$128K/yr - $183K/yr
5+ years expdsm-firmenich is a company focused on leveraging science and creativity to bring progress to life. They are seeking an experienced data scientist to lead a virtual receptor screening team, driving scientific strategy and interdisciplinary projects in receptor biology and data science.
BeautyChemicalHealth CareManufacturingNutrition
Responsibilities
Use data science and AI to drive a fast-paced ingredient discovery & development pipeline that generates maximum value across dsm-firmenich’s business units
Develop and implement accurate ML and protein AI models of receptor-ligand interactions to drive receptor science using deep structural biology knowledge
Perform in silico screening, docking analyses and energy calculations
Lead the development and drive the adoption of best practices and common computational tools by our global community of data scientists and scientists
Build and scientifically lead a dedicated data science team developing and applying methods for virtual screening and receptor structural biology to our knowledge creation and business projects
Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches and network as well as collaborate with the global scientific community
Apply and drive application of modern software development and machine learning tools and practices in your own daily work, as well as that of your team, including a high level of proficiency in python. Familiarity with effective and responsible use of coding agents is highly preferred
Strongly contribute to building the data science strategy for ingredient discovery, and team up with other data scientists, life science experts and internal science leaders around the globe to drive project success
Data science and AI to deliver use cases with maximum value for dsm-firmenich’s, perfumery and beauty, taste, texture and health segments
Develop and implement ML and AI models for predicting and optimizing performance of formulations in diverse applications
Support formula creation and product development tools with Data Science models and data pipelines
Help to translate scientific research findings into practical applications and collaborate with business units to support solutions that address key business needs
Adopt Data Science best practices and support our global community of data scientists, scientists and experts in perfumery and beaty, taste, texture and health segments
Be informed of latest advancements in cheminformatics, formulation design, computational biology, molecular AI and modeling approaches
Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in Python, git, and team co-development workflows. Familiarity with good use of coding agents preferred
Collaborate with other data scientists and chemistry and physics science experts around the globe to contribute to successful project execution
Qualification
Required
Ph.D. or similar experience in Receptor Biology, Structural Biology, Computer Science, AI, or a related field
5-10 years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the drug discovery and/or chemosensory biology field
Record of accomplishments demonstrating high drive and keen entrepreneurial innovation
Strong skills and deep experience in computational structural biology, virtual docking and molecular dynamics simulations, including hands-on experience with modern protein AI tools
Deep understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels
High proficiency in modern ML, python, good code management, and working with CI/CD pipelines
Experience in leadership of R&D projects and ideally also coaching, mentoring or leading R&D teams
Excellent problem-solving skills and proven ability to work both independently and collaboratively
Effective communication and collaboration skills with the ability to convey complex concepts to non-experts
Preferred
Familiarity with effective and responsible use of coding agents is highly preferred
Familiarity with good use of coding agents preferred
Benefits
This position is also eligible for bonuses and benefits, which are not included in the pay scale provided.
Company
dsm-firmenich
dsm-firmenich is a nutrition, health, and beauty pioneer and combines vital nutrients, flavors, and fragrances.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.75B2025-02-19Post Ipo Debt· $781.57M
2024-08-08Post Ipo Debt· $1.96B
2023-04-21IPO
Leadership Team
Jerry Vittoria
President Global Fine Fragrance
Recent News
2026-01-16
Company data provided by crunchbase