Post-Doc Research Associate (Thessen)

The University of North Carolina at Chapel Hill; Chapel Hill (NC); On-site; USD 50,000 - 70,000; Full time

Job summary

The University of North Carolina at Chapel Hill is seeking a Postdoctoral Research Associate to develop innovative methods for linking environmental and clinical research data in a secure cloud environment. Responsibilities include refining clinical data models and supporting geospatial data visualization.

The ideal candidate will have a Ph.D. in any STEM field and relevant experience in geospatial data analysis and collaborative programming with Python. The position is on-site preferred.

Qualifications

• Experience with analysis, management, or integration of geospatial environmental data.
• Experience with collaborative programming in GitHub using Python.
• Ability to work with a geographically distributed team.

Responsibilities

• Develop methods for linking environmental and clinical research data.
• Refine clinical data models and support geospatial data visualization.
• Conduct human subjects research training.

Skills

Geospatial environmental data analysis

Collaborative programming in GitHub using Python

Ability to work with a geographically distributed team

Education

Ph.D. in any STEM field

Job description

Position Summary

The Department of Genetics seeks a Postdoctoral Research Associate to develop innovative methods for linking environmental data, clinical research data, and electronic health records in a secure cloud environment to support biomedical research. Responsibilities include refining clinical data models, developing ingest and QA/QC pipelines, and supporting geospatial data visualization across cloud and on‑premises environments. Human subjects research training is required.

Minimum Education and Experience Requirements

Ph.D. in any STEM field.

Required Qualifications, Competencies, and Experience

• Experience with analysis, management, or integration of geospatial environmental data.
• Experience with collaborative programming in GitHub using Python.
• Ability to work with a geographically distributed team.

Preferred Qualifications, Competencies, and Experience

• Ph.D. in any STEM field (preferred).
• Experience with geocoders.
• Experience with clinical research data.
• Experience incorporating agentic AI into scientific research workflows.
• Experience with data standards and data schemas.
• On‑site work (preferred).

Equal Opportunity Employer Statement

The University is an equal‑opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.