Microbial Genomics Postdoctoral Fellow
Berkeley Lab
Summary
Berkeley Lab's Joint Genome Institute (JGI) has an opening for a Microbial Genomics Postdoctoral Fellow to join the Microbial Program. In this role, you will develop and implement community standards for genome sequences and metadata from single-cell microeukaryotes, microbial symbioses, and co-cultures.
Job description
What You Will Do
- Develop community genome and metadata standards for single-cell microeukaryotes, symbioses, and co-cultures.
- Collaborate with the Genomic Standards Consortium, JGI researchers, and external stakeholders to define reporting requirements for genome quality, provenance, organismal associations, and partner-genome linkage.
- Conduct targeted genome quality and metadata assessments to evaluate and refine standards.
- Create controlled vocabularies, metadata templates, reporting checklists, and submission guidelines.
- Identify reporting gaps and improve validation using representative JGI datasets.
- Develop reproducible computational workflows for genome analysis, metadata integration, and standards validation.
- Integrate genomic, functional, phylogenetic, environmental, and association data for cross-project comparisons and Data Lakehouse applications.
- Publish findings, present at scientific meetings, and share reusable workflows and resources with the research community.
- Support automation of data curation, metadata validation, and computational analyses for single-cell and co-culture genomic datasets.
- Prepare and present project updates, technical documentation, and reports at group and collaborator meetings.
- Contribute to user-facing documentation and approaches for discovering, comparing, and reusing association-aware genomic datasets in the JGI Data Lakehouse.
What We Are Looking For
- A recent Ph.D. (within the last 1-2 years) in Computational Biology, Bioinformatics, Microbiology, Molecular Biology, or a related discipline.
- Strong experience in analysis of microbial genomes and metagenomes, with a proven track record reflected in recent or pending publications.
- Strong programming experience in Python, C/C++, R, or related scientific computing languages.
- Experience with statistical modeling, algorithm development, or large-scale data analytics.
- Strong experience with UNIX utilities and filesystems.
- Strong experience with using standard bioinformatics tools and databases.
- Strong knowledge of Biology/Biochemistry and understanding of key and complex biological concepts (e.g., genes, pathways, microbial phylogeny, and genome evolution).
- Strong organizational skills including experience maintaining detailed and accurate records of results and analyzed data.
- Excellent oral and written communication skills including experience presenting at group meetings and conferences, and publishing research findings.
- Demonstrated interpersonal communication skills including experience conducting independent, data-driven research and collaborating with an interdisciplinary research team.
Desired Qualifications
- Experience with single-cell genomics, microbial eukaryotes, co-cultures, symbioses, or genome-resolved metagenomics.
- Familiarity with Genomic Standards Consortium initiatives, community metadata standards, FAIR data principles, or data infrastructure.
- Machine learning/AI expertise.
- Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds.
Requirements
- Recent Ph.D. (within the last 1-2 years) in Computational Biology, Bioinformatics, Microbiology, Molecular Biology, or a related discipline
- Strong experience in analysis of microbial genomes and metagenomes with a proven publication track record
- Strong programming experience in Python, C/C++, R, or related scientific computing languages
- Experience with statistical modeling, algorithm development, or large-scale data analytics
- Strong experience with UNIX utilities and filesystems
- Strong experience with standard bioinformatics tools and databases
- Strong knowledge of Biology/Biochemistry and complex biological concepts
- Strong organizational skills maintaining detailed and accurate records
- Excellent oral and written communication skills
- Demonstrated interpersonal communication and interdisciplinary collaboration skills
- Less than 3 years of paid postdoctoral experience
Benefits
- Comprehensive health benefits
- Medical, Dental & Vision
- Retirement savings
- 24 days PTO
- Sick leave
- Paid holidays
- Professional development
- Postdoc Association network
Company overview
Lawrence Berkeley National Laboratory (Berkeley Lab) is a premier federally funded research and development center established in 1931 and managed by the University of California for the U.S. Department of Energy. With a distinguished history spanning over 90 years, Berkeley Lab has been awarded 17 Nobel Prizes and operates as a multidisciplinary research institution focused on discovery science and energy solutions. The laboratory's expertise encompasses six major research areas: Computing Sciences, Physical Sciences, Earth and Environmental Sciences, Biosciences, Energy Sciences, and Energy Technologies. Berkeley Lab operates five national scientific user facilities including the Advanced Light Source, Joint Genome Institute, Molecular Foundry, National Energy Research Scientific Computing Center (NERSC), and Energy Sciences Network (ESnet), serving over 14,000 researchers annually. The institution is renowned for its team science approach, pioneering research in particle physics, materials science, genomics, and climate science, while maintaining a strong commitment to addressing global energy challenges and advancing fundamental scientific knowledge.