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

Senior Director Quantitative Science

Location: Princeton, NJ or Lexington, MA

 

Looking for a new challenge?  Yearning to be part of an organization that brings progress to life?  Read on! 

 

We’re #hiring for Senior Director Quantitative Science. This global leadership role leads a multidisciplinary team and will establish highly differentiating quantitative science capabilities at the intersection of data science, biology, and clinical development across all business units of dsm-firmenich. 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. 

 

At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated.

 

Your key responsibilities

 

• 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.

 

 

We bring:

• The opportunity to leverage industry-leading expertise across a wide range of scientific disciplines to advance the field and deliver tangible consumer benefits.
• A rich history and a promising future of bold scientific innovation and passionate creation with our customers
• A space to grow by encouraging and supporting curiosity and an open mindset.
• The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose
• A culture that prioritizes safety and well-being, both physically and mentally
• A firm belief that working together with our customers is the key to achieving great things

 

You bring:

• Minimum 10 years of relevant post-graduate work experience along with minimum 5 year of relevant  experience in the life sciences industry required
• Deep expertise in high-dimensional data analysis (such as transcriptomics, proteomics, metagenomics), statistical modeling, and trial analytics
• Proven experience in clinical trial data support, real-world data analytics, and evidence generation for regulatory or commercial purpose.  Strong understanding of biological pathways, pathophysiology, host-microbe interactions, microbiome, and system-level modeling required.
• Track record managing cross-functional teams that span various projects, multiple locations, and external collaborations and extensive track record of people development and team leadership, preferably with global teams