University of North Carolina - Chapel Hill
Post-Doc Research Associate (Liu Lab)
University of North Carolina - Chapel Hill, Elkins Hills, North Carolina, United States
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 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.
Position Summary The Liu Lab at the University of North Carolina at Chapel Hill is seeking a highly motivated Postdoctoral Research Associate to investigate the evolutionary mechanisms that shape the pathogenicity and drug resistance of Mycobacterium tuberculosis (Mtb) and nontuberculous mycobacteria (NTM). This position will focus on identifying the genetic determinants that drive bacterial adaptation to the host environment and contribute to antimicrobial resistance and persistence during infection.
The successful candidate will leverage large‑scale longitudinal clinical cohorts and bacterial isolate collections obtained through collaborations. The research will involve developing and applying novel population‑genomic and statistical frameworks to detect non‑canonical forms of natural selection, adaptive convergence, and bacterial traits associated with transmission, virulence, and treatment outcomes.
This position will require integration of multi‑dimensional datasets including genomic, transcriptomic, phenotypic, and clinical metadata to elucidate how bacterial evolution influences disease progression and therapeutic response. The postdoc will have the opportunity to collaborate closely with computational biologists, microbiologists, and clinicians, and to contribute to the design of follow‑up functional validation experiments.
Minimum Education and Experience Requirements Ph.D. in microbiology, genetics, computational biology, or a related field.
Required Qualifications Ph.D. or all but dissertation for Ph.D.
Preferred Qualifications The ideal candidate will have a strong background in microbial genomics, evolutionary biology, bioinformatics, or computational biology, with an interest in translational applications that connect bacterial evolution to clinical impact. Experience in bacterial genomics or evolution is 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.
#J-18808-Ljbffr
University of North Carolina at Chapel Hill
consistently ranks as
one of the nation's top public universities
and is among 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.
Position Summary The Liu Lab at the University of North Carolina at Chapel Hill is seeking a highly motivated Postdoctoral Research Associate to investigate the evolutionary mechanisms that shape the pathogenicity and drug resistance of Mycobacterium tuberculosis (Mtb) and nontuberculous mycobacteria (NTM). This position will focus on identifying the genetic determinants that drive bacterial adaptation to the host environment and contribute to antimicrobial resistance and persistence during infection.
The successful candidate will leverage large‑scale longitudinal clinical cohorts and bacterial isolate collections obtained through collaborations. The research will involve developing and applying novel population‑genomic and statistical frameworks to detect non‑canonical forms of natural selection, adaptive convergence, and bacterial traits associated with transmission, virulence, and treatment outcomes.
This position will require integration of multi‑dimensional datasets including genomic, transcriptomic, phenotypic, and clinical metadata to elucidate how bacterial evolution influences disease progression and therapeutic response. The postdoc will have the opportunity to collaborate closely with computational biologists, microbiologists, and clinicians, and to contribute to the design of follow‑up functional validation experiments.
Minimum Education and Experience Requirements Ph.D. in microbiology, genetics, computational biology, or a related field.
Required Qualifications Ph.D. or all but dissertation for Ph.D.
Preferred Qualifications The ideal candidate will have a strong background in microbial genomics, evolutionary biology, bioinformatics, or computational biology, with an interest in translational applications that connect bacterial evolution to clinical impact. Experience in bacterial genomics or evolution is 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.
#J-18808-Ljbffr