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.
Lawrence Berkeley National Laboratory provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
