This may include research and activities related to: Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes; Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others; Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation a healthier and more equitable food environment; Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.