Senior Director, Quantitative Science - Princeton, NJ or Lexington, MA at DSM

Princeton, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Modeling, Bioinformatics, Statistics, Data Science, Computational Disease Models, Clinical Trial Analytics, Meta-Analyses, Systematic Reviews, Evidence Synthesis, Product Claims, IP Strategy, Competitive Landscape, Multidisciplinary Collaboration, Talent Management, Professional Development

Industry

Chemical Manufacturing

Description

Yearning to be part of an organization that brings progress to life? Read on! We're #hiring for Senior Director Quantitative Science. You'll be instrumental in driving the data science foundation for scientific discovery and product innovation through data analytics and modeling- from early target identification and disease modeling to clinical trial analytics, product claims support. Sound intriguing? There's more. You'll manage a team of bioinformaticians, statisticians, and data scientists to deliver high-impact insights across discovery and development. Lead a team of bioinformaticians, statisticians, and data scientists to deliver high-impact insights across discovery and development. Attract and retain top talent and ensure their professional development. Develop and implement data science strategy and roadmap for the AI-assisted nutrition, health, and beauty in alignment with Business strategy. Responsibilities including but not limited to overseeing data analytics & modeling for target ID and MOA studies by integrating multi-omics and high-throughput screening data; guide development of computational disease models; lead clinical trial data foundation, analytics, and interpretation, ensuring statistical rigor and regulatory readiness; drive data analysis for meta-analyses, systematic reviews, and evidence synthesis & product claims across internal and external knowledge base Foster relationships and actively collaborate with partnering multidisciplinary Science & Research and Business Innovation teams to drive value creation and impact. Define and secure IP related to data models and data science methodologies in alignment with IP Strategy Map the Competitive Landscape and maintain current awareness of industry trends and innovative methodology.

Responsibilities

You will manage a team of bioinformaticians, statisticians, and data scientists to deliver high-impact insights across discovery and development. Responsibilities include overseeing data analytics and modeling for target identification and guiding the development of computational disease models.