Postdoctoral Position in Bioinformatics
Job Description
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 dataIntegration of single-cell RNA-seq with proteomic and metabolomic datasetsApplication of machine learning and AI approaches to microbiome dataHarmonization and management of clinical metadata across cohortsIntegration of clinical and multi-omic datasets to uncover microbiome–host interactionsStrong 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.
To apply, please send a CV to mozcam@som.umaryland.edu.
The University of Maryland, Baltimore is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law.
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