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Lawrence Berkeley National Laboratory
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Microbiome Computational Biology and Machine Learning Postdoctoral Fellow Lawrence Berkeley National Laboratory in United States
Degree Level
Postdoc
Field of study
Biology
Funding
This is a full-time, benefits-eligible, two-year postdoctoral appointment with possible renewal subject to performance, funding, and operational needs. Salary is $6,048–$6,743 per month ($72,576–$80,916 annually), expected to start at $6,048 per month or above, with rates determined by postdoctoral experience and union step schedules. Benefits include medical, dental, and vision coverage, retirement savings options, 24 days of paid time off per fiscal year, sick leave, and paid holidays.
Deadline
Dec 4, 2026
Country
United States
University
Lawrence Berkeley National Laboratory
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About this position
Lawrence Berkeley National Laboratory’s Joint Genome Institute (JGI) is seeking a Microbiome Postdoctoral Fellow to develop computational, statistical, and machine-learning approaches for understanding why some microorganisms can be cultivated while others remain uncultivated.
The project will integrate large-scale isolated genomes, metagenomic abundance profiles, metagenome-assembled genomes, functional annotations, and environmental data through JGI’s Data Lakehouse. The fellow will investigate genomic, metabolic, phylogenetic, ecological, and environmental factors associated with microbial cultivation potential and build predictive models to identify promising cultivation conditions.
Research activities include large-scale comparative analysis of microbial genomes and metagenomes, feature extraction, classification, clustering, dimensionality reduction, network analysis, multi-omics integration, and statistical modeling. The fellow will design scalable workflows for high-performance computing, develop reproducible research software, and support tools for organizing and comparing thousands of genomic and metagenomic samples.
The position combines computational biology, bioinformatics, microbial genomics, metagenomics, microbial ecology, machine learning, and biological interpretation. The fellow will apply knowledge of microbial metabolism and physiology to distinguish cultivated from uncultivated lineages and generate experimentally testable hypotheses.
Working with JGI’s cultivation community and collaborators across KBase, ENIGMA, and the broader scientific community, the fellow will help prioritize microbial lineages for targeted cultivation, validate computational methods, translate data-driven findings into biological insight, publish research, present at conferences, and contribute software and analytical resources to the scientific community.
JGI is a DOE Office of Science user facility headquartered in Berkeley, California, with research capabilities spanning genome sequencing, synthesis, transcriptomics, metabolomics, natural products, and data science.
Funding details
This is a full-time, benefits-eligible, two-year postdoctoral appointment with possible renewal subject to performance, funding, and operational needs. Salary is $6,048–$6,743 per month ($72,576–$80,916 annually), expected to start at $6,048 per month or above, with rates determined by postdoctoral experience and union step schedules. Benefits include medical, dental, and vision coverage, retirement savings options, 24 days of paid time off per fiscal year, sick leave, and paid holidays.
What's required
Applicants should have a recent Ph.D., typically within the last 1–2 years, in computational biology, bioinformatics, microbiology, molecular biology, biochemistry, or a related discipline, and less than three years of paid postdoctoral experience. Required qualifications include strong experience analyzing microbial genomes and metagenomes; programming in Python, C/C++, R, or related scientific languages; experience with machine learning, statistical modeling, algorithm development, or large-scale data analytics; UNIX utilities and filesystems; standard bioinformatics tools and databases; strong biology/biochemistry knowledge, including genes, pathways, and microbial phylogeny; accurate record-keeping; excellent written and oral communication; and the ability to conduct independent data-driven research and collaborate with interdisciplinary teams. Desired qualifications include high-performance computing and workflow systems such as WDL, Nextflow, or Snakemake, familiarity with command-line sequence-analysis tools such as Last, HMMER, MEGAHIT, and MetaSPAdes, and the ability to communicate scientific projects to diverse audiences. A background check is required, and hybrid employees must reside within 150 miles of Berkeley Lab.
How to apply
Apply through the Berkeley Lab job portal using the “Apply for Job” option. Submit a CV or resume and a cover letter describing your interest by December 4, 2026 for priority consideration; applications remain open until the posting is removed.
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