Job Summary
Develop and apply computational, statistical, and machine-learning approaches to investigate large microbial genomic and metagenomic datasets. Working with interdisciplinary collaborators, this role integrates multi-omics information and supports the prediction of microbial cultivation potential.
Responsibilities
- Design and implement computational, statistical, and machine-learning methods for large-scale microbial genomic and metagenomic analysis.
- Collaborate with interdisciplinary teams to combine and interpret multi-omics data.
- Develop predictions of microbial cultivation potential using genomic and related data.
- Analyze microbial genomes with high-performance computing resources.
Qualifications
- Recent Ph.D. in Computational Biology, Bioinformatics, Microbiology, or a related discipline.
- Strong programming skills.
- Experience analyzing microbial genomes using high-performance computing.
