Postdoctoral Research Associate

Job Expired

Posting Details

Department

TraCS Institute - 429801

Posting Open Date

06/03/2026

Application Deadline

06/08/2026

Open Until Filled

Position Type

Postdoctoral Scholar

Position Title

Postdoctoral Research Associate

Vacancy ID

PDS004878

Full-time/Part-time

Full-Time Temporary

Hours per week

FTE

Work Location

Chapel Hill, NC

Position Location

North Carolina, US

Hiring Range

Dependent upon qualifications

Proposed Start Date

09/01/2026

Estimated Duration of Appointment

12 Months

Position Information

Be a Tar Heel!

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.

Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.

UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.

Primary Purpose of Organizational Unit

Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education and research.

Patient care: We promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.

Education: We prepare tomorrow`s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce.

Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research.

Position Summary

The Postdoctoral Research Associate will perform informatics-related studies and trials proposed and managed by UNC Health. UNC Health has numerous data and analytic assets that require study e.g., AI tools for physician use to determine whether they are well suited to be used in care. The Postdoctoral Research Associate will collaborate closely with stakeholders within UNC Health to (1) design studies and create analysis plans, (2) develop and submit IRB and/or trial registration protocols, (3) perform analyses of study data using a wide variety of data science and epidemiological methods, and (4) write and publish manuscripts and other dissemination artifacts. This position will be under the supervision of Dr. Emily Pfaff.

Minimum Education and Experience Requirements

PhD in clinical or health informatics

Required Qualifications, Competencies, and Experience

The candidate should be proficient in study design, epidemiological methods, scientific computing (inc. proficiency with Python/R), data science methods (esp. machine learning), electronic health record data, cloud computing tools, and geospatial analysis techniques. The candidate should also possess excellent verbal and writing skills. Ability to work independently but also in close interaction within a team are crucial. Must be able to think and work within a multidisciplinary team.

Preferred Qualifications, Competencies, and Experience

The preferred candidate will also have experience with target trial emulation methods.

Special Physical/Mental Requirements

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