Research Associate; Liu Lab

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Department:
Genetics – 423501
Career Area:
Research Professionals
Final date to receive applications: 03/31/2026
Position Type:
Temporary Staff (EHRA NF)

Position Title:

Research Associate (Liu Lab)
Position Number:
Vacancy : N000832
Fte: 1
Hours Per Week: 40

Position Location:

North Carolina, US
Hiring Range: $40,000
Proposed Start
01/2026
Estimated Duration Of Appointment: 12 months

Our mission is to improve the health and well‑being of North Carolinians and others we serve. We do this by providing leadership and excellence in patient care, education and research. We promote health and provide superb clinical care while serving underserved populations and reducing disparities. We prepare healthcare professionals and biomedical researchers through innovative curricula and team‑oriented interprofessional education. We support outstanding health sciences research programs, centers and resources, fostering collaboration across disciplines and leveraging basic, translational, mechanistic and population research.

The Liu Lab in the Department of Genetics is looking for a Research Associate to conduct bacterial phenotyping research to characterize evolved physiological traits and systematically link bacterial phenotypes to underlying genomic variants. Responsibilities include developing and optimizing high‑throughput phenotyping workflows, performing targeted genetic manipulations, and integrating phenotypic data with genomic analyses to understand bacterial adaptation and evolution.

Relevant post‑Baccalaureate degree required (or foreign degree equivalent). Candidates demonstrating comparable independent research productivity may accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience. May require terminal degree and licensure.

MS in Genetics or related field.

• Experience with genomic and RNA‑seq data analysis.
• Proficiency in microscopy techniques and microscope operation.
• Bioinformatics skills, including primer design and sequence alignment.
• Basic proficiency in the R programming language.

Not Applicable.