Institution
Lawrence Berkeley Lab, Joint Genome Institute
Location
Berkeley, CA, USA

Description
Lawrence Berkeley Lab’s (LBL) Joint Genome Institute (JGI) has an opening for a Genome Annotation Scientist (Data Scientist) to join the team.

Take advantage of an exciting opportunity to employ your scientific and computational skills as part of  the JGI Plant Science Program, the world’s largest producer of high-quality plant genome assemblies and annotations.  In this role, you will work at the JGI within the Plant Comparative Analysis group to generate new as well as improved plant genome annotations and facilitate the acquisition, incorporation, and display of functional, genetic, and other genome-anchored data in the Phytozome Genomics Portal (https://phytozome-next.jgi.doe.gov). Your responsibilities include the curation and assessment of relevant plant transcriptomic datasets and assembled genomes, running and troubleshooting the annotation pipeline, analyzing the resulting gene predictions in coordination with internal and external scientists, evaluating genome-specific modifications and tuning of the pipeline components,  and incorporating the data into the Phytozome portal.

Qualifications

• Master’s degree or higher in Biology, Bioinformatics, Life Sciences, Computer Sciences, or related field with a minimum of three years of related experience.
• Experience with GMOD components such as CHADO, JBrowse, BioMart.
• Experience running workflows under Cromwell/WDL or NextFlow.
• Experience running large-scale computations with SLURM, SGE or similar job schedulers
• Experience running data and compute intensive computations on AWS or Google Cloud.
• Strong knowledge in Genetics in general, plant genetics in particular.
• Knowledge of good SW development practices including version control and testing.
• Master’s degree or higher in Biology, Bioinformatics, Life Sciences, Computer Sciences, or related field with a minimum of six years of related experience.
• Extensive experience in the annotation of multiple plant genomes.
• Experience supervising and coordinating the work of other team members.