Bioinformatics Postdoc – Microbiome-Immune Multi-Omics

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

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.