Post-Doc Research Associate

Posting Details

Department

Biostatistics - 462001

Posting Open Date

03/02/2026

Application Deadline

03/06/2026

Open Until Filled

Position Type

Postdoctoral Scholar

Position Title

Post-Doc Research Associate

Vacancy ID

PDS004791

Full-time/Part-time

Full-Time Temporary

Hours per week

FTE

Work Location

Chapel Hill, NC

Position Location

North Carolina, US

Hiring Range

Proposed Start Date

03/16/2026

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

The Department of Biostatistics (BIOS) is internationally recognized as a leader in Biostatistics research and training. It is one of eight departments in the Gillings School of Global Public Health whose mission is to improve the health and wellbeing of the population. This mission is accomplished through the interaction of teaching, research and service. The department is one of the largest, most complex departments on campus. For FY19, Biostatistics, was 4th among all departments and centers across campus in research funding at UNC Chapel Hill and currently has almost 300 employees. The Department operates a $46 million sponsored research budget (FY19), a 1.7-million-dollar state budget, a 1.0-million-dollar F&A budget and spends roughly 3.0 million in trust funds annually. The Department has 55 EHRA and EHRA Non-Faculty members, 74 permanent staff members and 162 temporary employees. The Department has 235 students (184 graduate students and 51 undergraduate students). The Department of Biostatistics is housed in three different locations: administrative and faculty offices, including a suite of offices for graduate students in McGavran-Greenberg Hall; the Collaborative Studies Coordinating Center (CSCC) at Carolina Square; and the Carolina Survey Research Laboratory (CSRL) at Bolin Creek Center.

Position Summary

The post-doctoral fellow will work with Dr. Hudgens to develop and apply causal inference methods, with particular emphasis on methods which allow for interference. The methods will be applied to infectious disease prevention studies and other studies of public health and/or biomedical importance. The post-doc may also be involved in helping supervise and mentor graduate students in the Department of Biostatistics, and/or collaborating with other faculty members in the Gillings School of Global Public Health.

Minimum Education and Experience Requirements

The candidate should have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field.

Required Qualifications, Competencies, and Experience

Background in causal inference and/or quantitative methods in infectious disease research.

Preferred Qualifications, Competencies, and Experience

Excellent communication skills.

Special Physical/Mental Requirements

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