Computational Postdoctoral Researcher – Bacterial Genomics, Transcriptomics, and Single-Cell Ge
Listed on 2026-07-13
-
Research/Development
Data Scientist, Research Scientist -
Healthcare
Data Scientist
Computational Postdoctoral Researcher – Bacterial Genomics, Transcriptomics, and Single-Cell Genomics
Location:
Memphis, TN
Category:
Postdoc
Department:
Pharmacy & Pharmaceutical Sciences
Shift: Weekday Day
Position Type:
Full Time
Scheduled Weekly
Hours:
40
The Peijun Ma Laboratory e Children's Research Hospital is seeking a highly motivated Computational Postdoctoral Researcher to develop and apply computational approaches for bacterial genomics, transcriptomics, and single-cell genomics. Our research focuses on understanding bacterial heterogeneity, antibiotic responses, host-pathogen interactions, and microbiome dynamics. A major goal of the lab is to bridge bacterial genomics with transcriptomics to uncover how genetic variation, genome architecture, and cellular states shape bacterial behavior and adaptation.
The successful candidate will have the opportunity to help shape emerging directions in bacterial single-cell genomics. We are seeking individuals who are excited to work at the interface of computation and experimental microbiology, eager to expand their computational and biological expertise, thrive in an interdisciplinary environment, and aspire to make significant contributions to the future of bacterial genomics, transcriptomics, and single-cell biology.
QualificationsRequired:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related quantitative discipline.
- Candidates must have formal training in a quantitative discipline, with either a Bachelor's or Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, Mathematics, Statistics, or a related field.
- Strong computational and programming skills (Python, R, Linux, and high-performance computing environments).
- Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications in bacterial genomics, microbial genomics, transcriptomics, comparative genomics, or related fields.
- Experience developing reproducible computational workflows and analysis pipelines.
- Experience with reproducible research practices, version control, and computational workflow development.
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