Postdoctoral Fellow in Bioinformatics

The Translational Microbiome & Immune Tolerance Laboratory at the University of Maryland School of Medicine, Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute for Genome Sciences (IGS) is recruiting a postdoctoral fellow to join our interdisciplinary team studying the gut microbiome's role in immune tolerance development. Our lab integrates multi-omics microbiome analyses, microbial genetics, experimental models, and clinical cohorts to investigate mechanisms by which early-life gut microbial metabolism shapes host immunity.

The successful candidate will generate, analyze, and integrate multi-omics microbiome datasets, including shotgun metagenomics, 16S rRNA sequencing, single-cell transcriptomics, and proteomics/metabolomics. The overarching goal of the project is to investigate how early-life diet shapes the functional capacity of the gut microbiome and how these microbial functions are associated with the development of childhood allergic diseases. The candidate will develop machine learning-based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes.

Qualifications

Preferred Skills

• Analysis of shotgun metagenomics sequencing and metabolomics data
• Integration of single-cell RNA-seq with proteomic and metabolomic datasets
• Application of machine learning and AI approaches to microbiome data
• Harmonization and management of clinical metadata across cohorts
• Integration of clinical and multi-omic datasets to uncover microbiome-host interactions
• Strong statistical skills in Python and/or R
• Experience with cloud computing and high-performance computing environments

Ideal Candidate Profile

We are seeking a computational biologist, biostatistician or bioinformatician with strong quantitative and programming expertise and a demonstrated interest in applying AI and machine learning approaches to complex biological systems.

What We Offer

• Access to clinical samples from well-characterized pediatric cohorts.
• Collaborative environment across CAMRI and IGS.
• Access to Maryland Genomics Resources and Trainings.
• Cutting-edge tools in multi-omics and host-microbe interactions.