Computational Postdoctoral Researcher – Bacterial Genomics, Transcriptomics, and Single-Cell Genomics

St. Jude Children's Research Hospital • Memphis, TN

2d

About The Position

The Peijun Ma Laboratory at St. Jude 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.

Requirements

• 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.
• Excellent communication and collaborative skills.

Nice To Haves

• Research experience in bacterial genomics, microbial genomics, comparative genomics, transcriptomics, or single-cell genomics.
• Experience integrating multiple genomic data types to address biological questions.
• Experience with statistical modeling, machine learning, or other quantitative approaches for genomics data analysis.
• Interest in working closely with experimental scientists and contributing to interdisciplinary biological research.

Responsibilities

• Develop and apply computational approaches for bacterial genomics and transcriptomics.
• Analyze high-throughput sequencing datasets, including bulk and single-cell data.
• Integrate genomic and transcriptomic datasets to investigate bacterial physiology, adaptation, evolution, and host-pathogen interactions.
• Collaborate with laboratory members to design analyses, interpret results, and generate biological insights.
• Contribute to computational infrastructure, workflow development, and training within the laboratory.
• Help develop next-generation computational approaches for bacterial single-cell genomics.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree