Postdoctoral Fellow in Bioinformatics

University of Maryland Baltimore; Baltimore (MD); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Access to clinical samples from pediatric cohorts

Collaborative working environment

Access to genomics resources and training

Job summary

A leading academic institution in Maryland is seeking a postdoctoral fellow to join their Translational Microbiome & Immune Tolerance Laboratory. The role focuses on generating and analyzing multi-omics datasets to explore the gut microbiome's impact on immune tolerance and allergic diseases. Ideal candidates should have a strong background in computational biology, biostatistics, or bioinformatics, with skills in machine learning and statistical analysis. Collaborative opportunities and access to unique clinical samples are provided.

Qualifications

• Strong quantitative and programming expertise required.
• Demonstrated interest in AI and complex biological systems essential.

Responsibilities

• Generate and analyze multi-omics microbiome datasets.
• Develop machine learning models for microbiome-derived signatures.

Skills

Analysis of shotgun metagenomics sequencing

Application of machine learning and AI approaches

Strong statistical skills in Python or R

Experience with cloud computing

Integration of clinical and multi-omic datasets

Education

PhD in Computational Biology, Biostatistics, or Bioinformatics

Job description

Overview

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.

Responsibilities

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.

To apply, please send a CV to [e-mail].

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. If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at [e-mail] and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.