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source

Vanderbilt University

Postdoctoral Research Fellow in Microbiome, Genomics, Multi-omics, and AI-Enabled Biological Discovery Vanderbilt University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Supported by multiple NIH grants.

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Country

United States

University

Vanderbilt University

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Keywords

Computer Science
Biology
Artificial Intelligence
Medical Science
Salud Pública
Microbiome Research
Host-pathogen Interaction
Omics
Genomic
Statistics
Bioinformatic

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About this position

Vanderbilt University Medical Center is seeking a Postdoctoral Research Fellow in the Department of Medicine for a multidisciplinary research program focused on microbiome, genomics, multi-omics, bioinformatics, statistics, and AI-enabled biological discovery.

The project uses large-scale microbiome, genomic, multi-omic, and EHR-linked datasets to study host-microbe interactions, microbial and host-genetic discovery, and the biological mechanisms underlying health and disease. The work aims to identify disease-associated microbial features, host-genetic variants, biomarkers for disease-risk prediction, and strategies for disease prevention and intervention.

Responsibilities include analyzing large-scale genomic and microbiome datasets, developing and applying statistical and bioinformatics methods, integrating genomic/transcriptomic/proteomic data, collaborating with national and international research consortia, leading manuscript preparation, presenting findings at scientific meetings, and contributing to grant applications.

The position is supported by multiple NIH grants. Applications should be submitted to [email protected]. The posting is for a postdoctoral opening at Vanderbilt University in the United States.

Funding details

Supported by multiple NIH grants.

What's required

Motivated postdoctoral researcher with experience or strong interest in analyzing large-scale genomic, microbiome, multi-omic, and EHR-linked datasets. The role requires skills in statistical analysis, bioinformatics, and AI-based methods, plus the ability to integrate genomic, transcriptomic, proteomic, and other multi-omic data. Applicants should be prepared to collaborate across national and international consortia, lead manuscript preparation, present at scientific meetings, and contribute to grant applications.

How to apply

Submit all application materials by email to [email protected].

More information can be found here

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