Job Summary
The fellow will advance consistent, interoperable practices for microbial genome data by developing and implementing community standards for genome sequences and associated metadata. Working with relevant stakeholders, they will support effective data sharing and integration. The role also involves building reproducible computational workflows and evaluating genomic data quality to help refine standards and metadata practices.
Responsibilities
- Develop and implement community standards for genome sequences and metadata.
- Collaborate with stakeholders to promote interoperability across genomic data resources.
- Create reproducible computational workflows for genomic analysis.
- Assess genomic data quality and metadata integration, using findings to inform improvements.
Qualifications
- Recent Ph.D. in Computational Biology, Bioinformatics, Microbiology, or a related discipline.
- Strong programming skills in Python, R, or C/C++.
- Demonstrated experience analyzing microbial genomes.
- Excellent communication skills and the ability to work effectively with stakeholders.
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.
