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Postdoctoral Fellow - Computational Analysis in Gut Microbiome

About the position

The Jiang Lab at the National Library of Medicine (NLM) of the National Institutes of Health (NIH) invites applications for a postdoctoral research position in computational analysis, with a particular focus on the metabolomics of the gut microbiome. Our team is dedicated to uncovering the secrets of microbial and viral evolution, and we are expanding our research to explore the complex metabolic interactions within the gut ecosystem. This position centers on identifying metabolites produced by the gut microbiome, particularly those resulting from enzymatic reactions of gut bacteria. Candidates will have the opportunity to engage in cutting-edge research aimed at understanding the metabolic outputs of the gut microbiome and their implications for host health. Our lab offers a dynamic, supportive environment for developing innovative computational approaches to decipher metabolic pathways and interactions. For more information about our lab and its projects, please visit: We seek creative, self-motivated individuals passionate about leveraging computational tools to solve complex biological questions, specifically those related to the metabolomics of the gut microbiome. Join us in advancing the frontiers of microbial research and contributing significantly to the field of bioinformatics and genomics.

Apply for this vacancy

What you'll need to apply

Applicants should send the following documents to Dr. Xiaofang Jiang at, using the email subject: "PostDoc Applicant – First Name, Last Name":

  • Cover letter
  • Curriculum vitae
  • A statement of research interests, particularly highlighting interest in gut microbiome metabolomics
  • Contact information for three references (names and e-mail addresses)

Contact name

Xiaofang Jiang, Ph.D.

Contact email


Ideal candidates will meet the following criteria:

  • A Ph.D. with less than 5 years of postdoctoral experience
  • Ph.D. in bioinformatics, computational biology, chemistry, microbiology, or a closely related discipline, with a strong emphasis on computational analysis
  • Proficiency in Python, R, Bash and other relevant programming languages
  • Demonstrated ability in handling large-scale biological data sets, with a preference for experience in metabolomics data analysis
  • Interest in metabolic pathways, enzyme functions, and microbial biochemistry
  • Excellent communication skills and a track record of productive research
  • A clear sense of organization, purpose, and accountability Experience in any of the following would be advantageous but not mandatory:
    • Chemical informatics
    • Metabolomics data analysis, particularly untargeted approaches
    • Computational modeling of enzymatic pathways