Postdoc Research Associate: Global Food Policy

PeopleAdmin, Inc.; Chapel Hill (NC); On-site; USD 60,000 - 80,000; Full time

Job summary

Carolina Population Center at UNC-Chapel Hill seeks a Postdoctoral Research Associate to work with the Global Food Research Program Co-Directors on US and global nutrition policy research using large datasets.

The role involves designing studies, analyzing food purchase and nutrition data, and drafting manuscripts while coordinating with a diverse team of specialists in nutrition epidemiology, data science, and economics.

Qualifications

• Must have training in nutrition, epidemiology, social science, and quantitative statistical methods.
• Prior first author publications with statistical analysis of large epidemiological datasets or policy evaluations.
• Experience with grant writing and collaboration on interdisciplinary teams.

Responsibilities

• Prepare manuscripts with the team, including leading first author publications.
• Develop new study ideas and integrate into planned or new research.
• Assist with grant writing and lead own grant applications.
• Interact with collaborators on research design, implementation, and dissemination.
• Support development of policy briefs, presentations, and other dissemination materials.
• Engage with external stakeholders including advocacy groups and policymakers.
• Present research at international conferences and seminars; mentor students.

Skills

Statistical methods

Public health

Nutrition policy

Data analysis

Interdisciplinary collaboration

Education

PhD or equivalent in nutrition/public health/population sciences

Tools

R

Python

Job description

Carolina Population Center at UNC-Chapel Hill seeks a Postdoctoral Research Associate to work with the Global Food Research Program Co-Directors on US and global nutrition policy research using large datasets.

The role involves designing studies, analyzing food purchase and nutrition data, and drafting manuscripts while coordinating with a diverse team of specialists in nutrition epidemiology, data science, and economics.