The Metabolon Peak Science Grant Program is a competitive quarterly grant that supports high-impact research by providing access to Metabolon’s industry-leading metabolomics platform and scientific expertise.
The Peak Science Grant reflects Metabolon’s commitment to advancing transformative science by empowering researchers with the tools, expertise, and metabolomics data needed to accelerate biological discovery.
Each quarter, Metabolon will select three finalists and award one winning project a fully funded metabolomics study. The winning researcher or team will receive access to Metabolon’s analytical services, scientific expertise, data resources, and Integrated Bioinformatics Platform to help generate high-quality metabolomics data and translate complex results into meaningful biological insights.
The program is open to researchers seeking to use metabolomics to uncover new biology, strengthen an existing study, support translational discovery, generate preliminary data for future funding, or inform scientific decision-making.
Finalists will be invited to discuss their proposed project with Metabolon’s scientific and business development representatives. Finalists will also receive a 10% credit toward a future Metabolon project.
The winning project will receive a Metabolon-supported metabolomics study at no cost, including access to Metabolon’s scientific expertise, analytical capabilities, bioinformatics tools, and data interpretation resources.
The grant award includes:
This support is designed to help researchers move confidently from discovery to interpretation with high-quality metabolomics data and expert scientific guidance.
The Metabolon Peak Science Grant Program supports both basic and applied research that leverages metabolomics to advance biological discovery. We welcome applications from researchers in academia and industry working across disease biology, translational research, population health, microbiome research, nutrition, environmental health and related life science disciplines.
Eligibility considerations include:
Applications will be evaluated based on the following criteria: