Postdoctoral Scholar - Nutrient Profiling, Food Quality, and Artificial Intelligence

Postdoctoral Fellow Opportunity

The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.

This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States.

The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.

The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. 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 of 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.

The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations.

The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.

Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets.

Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.

Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.

Required education, experience and skills include an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. 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.

A complete application will include; cover letter, CV, and names of three references (if available, reference letters…