Predictive Microbial Genomics Postdoc: Genotype-Phenotype

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 73,000 - 87,000; Full time

Benefits offered by this job

Exceptional health benefits

Generous paid time off

Onsite culture and team environment

Job summary

Lawrence Berkeley National Laboratory seeks a Postdoctoral Fellow to advance the Systems Biology Knowledgebase (KBase) effort within the EGSB Division. You will annotate and analyze microbial genomes, develop models linking genotype to phenotype, and collaborate with experimental researchers to validate predictions.

The role centers on integrating data and expanding a living knowledge base. The position starts November 1, 2026, is onsite at UC Berkeley, with a union-represented postdoctoral

Qualifications

• Recent Ph.D. (within the last 1–2 years) in Bioinformatics, Computational Biology, Microbiology, Systems Biology, or related field.
• Demonstrated experience in computational analysis of microbial genomes, including genome annotation, functional analysis, pangenomics, and phylogenomics.
• Proficiency in applying data science, machine learning, and statistical methods to biological data using Python and/or R.
• Strong organizational skills with detailed record-keeping of results and analyses.
• Excellent verbal and presentation skills for reports, manuscripts, and talks.
• Interdisciplinary collaboration and data-driven independent research experience.

Responsibilities

• Annotate, classify, and analyze microbial genomes and pangenomes.
• Develop predictive models linking genotype to phenotype using KBase data.
• Design prediction and validation cycles with experimental researchers.
• Construct and refine genome-scale metabolic and microbial community models.
• Develop open benchmarks to evaluate model performance against mechanisms.
• Define calibration and uncertainty measures accounting for taxonomic distance and data sparsity.
• Publish open, FAIR methods, code, benchmarks, and datasets and disseminate findings.

Skills

Bioinformatics

Computational biology

Python

R

Data analysis

Communication

Independent research

Team collaboration

Education

Ph.D. in related field

Tools

KBase

Genome-scale modeling tools

Cloud computing

Linux

Job description

Lawrence Berkeley National Laboratory seeks a Postdoctoral Fellow to advance the Systems Biology Knowledgebase (KBase) effort within the EGSB Division. You will annotate and analyze microbial genomes, develop models linking genotype to phenotype, and collaborate with experimental researchers to validate predictions.

The role centers on integrating data and expanding a living knowledge base. The position starts November 1, 2026, is onsite at UC Berkeley, with a union-represented postdoctoral