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

St. Jude Children's Research Hospital Inc

Memphis, TN

JOB DETAILS
SKILLS
Analysis Skills, Bioinformatics, Biology, Biotech and Pharmaceutical, Business Operations, Cell Biology, Communication Skills, Computer Programming, Computer Science, Computer Systems, Data Analysis, Data Sets, Genetics, Genomics, High Throughput, Hospital, Linux Operating System, Machine Learning, Mathematics, Microbiology, Pathogens, Pharmacy, Physiology, Python Programming/Scripting Language, R Programming Language, Research Skills, Resume Search, Source Code/Configuration Management (SCM), Statistical Modeling, Statistics, Team Player, Training/Teaching, Workflow Analysis
LOCATION
Memphis, TN
POSTED
11 days ago

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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

Req #

JR7222

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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St. Jude Children's Research Hospital Inc