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Postdoctoral In Plant Genomics Jobs in Tennessee

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Postdoctoral In Plant Genomics information

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Plant Genomics, and why are they important?

To thrive as a Postdoctoral Researcher in Plant Genomics, you need a PhD in plant biology, genetics, or a related field, with expertise in genomics and molecular biology techniques. Proficiency with bioinformatics tools, next-generation sequencing platforms, and data analysis software like R or Python is typically required. Strong problem-solving abilities, critical thinking, and effective scientific communication skills help you collaborate and share findings. These skills ensure rigorous research, accurate data interpretation, and impactful contributions to advancing plant genomics knowledge.

What is a postdoctoral researcher in plant genomics?

A postdoctoral researcher in plant genomics is a scientist who has completed their Ph.D. and is engaged in advanced research focused on the genetic makeup of plants. Their work typically involves designing and conducting experiments, analyzing genomic data, and publishing findings related to plant genetics, evolution, or biotechnology. Postdocs in this field often work in academic, government, or industry labs, contributing to our understanding of plant biology and helping to develop improved crop varieties. They may also mentor students and collaborate with other researchers.

What are the typical collaborative opportunities for a Postdoctoral in Plant Genomics within academic or research institutions?

Postdoctoral researchers in Plant Genomics often work in interdisciplinary teams, collaborating closely with molecular biologists, bioinformaticians, and agronomists. These collaborations can involve joint research projects, co-authoring publications, and participating in grant applications. Engaging with diverse experts not only enhances research outcomes but also provides valuable networking and learning opportunities, which can be crucial for career advancement. Many institutions also encourage postdocs to mentor graduate or undergraduate students, further developing leadership and communication skills.
What are popular job titles related to Postdoctoral In Plant Genomics jobs in Tennessee? For Postdoctoral In Plant Genomics jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Plant Genomics jobs in Tennessee look for? The top searched job categories for Postdoctoral In Plant Genomics jobs in Tennessee are:
What cities in Tennessee are hiring for Postdoctoral In Plant Genomics jobs? Cities in Tennessee with the most Postdoctoral In Plant Genomics job openings:
Infographic showing various Postdoctoral In Plant Genomics job openings in Tennessee as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 3 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,054 rated hospitals


Job description

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.
Qualifications
Required
• 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.
Preferred
• 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.
Application
Interested candidates should submit:
• Curriculum vitae (CV)
• Cover letter describing their research interests, relevant experience, and why they are a good fit for this position
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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