Bioinformaticist Research Scientist; Joint Genome Institute

Bioinformaticist Research Scientist (Joint Genome Institute)

In this exciting role, you will be responsible for the development of research efforts in microbiome data science, including microbial genomics, metagenomics, metatranscriptomics, and viral genomics. You will perform advanced analyses and develop new computational genomics tools to support JGI users, with a strong emphasis on the development of automated workflows to identify and analyze novel mobile genetic elements from metagenomes and metatranscriptomic data.

You will perform research and development activities such as benchmarking and troubleshooting publicly available tools, as well as the development of new quality metrics and standardized computational approaches.

Reporting to the Head of Microbiome Data Science, you will be involved in co‑leading JGI’s strategic research and development projects aimed at creating new capabilities and resources that benefit JGI users. You will have the opportunity to work in an interdisciplinary environment and collaborate closely with JGI users on projects related to the development of new methods for the analysis of metagenomics and viral genomics.

You will design, conduct, present, and publish research on relevant scientific topics in addition to working with very large datasets to establish and apply new technologies in (meta) genomics. You will develop and apply new computational analysis methods and strategies for big data mining and discoveries from metagenomics data.

The JGI’s mission is to provide the global research community with access to the most advanced integrative genome science capabilities in support of the DOE’s research mission to solve the world’s evolving energy and environmental challenges. The JGI supports projects in genome sequencing, synthesis, transcriptomics, metabolomics, and natural products in plants, fungi, algae, and microorganisms. This position is headquartered on the Lab’s main site at the Integrative Genomics Building (IGB) (Virtual Tour).

This position has an anticipated start date of February 16, 2026.

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)

What You Will Do:

• Work as part of a team to develop computational workflows for the identification and characterization of mobile genetic elements.
• Perform large scale analysis of mobile genetic elements (MGEs), including building detection models, developing methods for grouping and classification, analyzing metagenomics sequences, and performing comparative genome analyses.
• Develop computational tools in the context of the Integrated Microbial Genome (IMG) data management and analysis system.
• Work in close collaboration with JGI’s microbial genome and meta genome program scientists.
• Perform custom analysis of viral genomes from metagenomics and metatranscriptomics data.
• Produce detailed reports and data packages with comprehensive documentation.
• Develop a collaborative research effort that supports the Department of Energy (DOE) and the Office of Biological & Environmental Research (BER)’s mission.
• Conduct research and development activities in the areas of microbiome data analysis in support of the DOE’s and the BER’s mission.
• Co‑lead, and collaborate on the development of new methods and capabilities in metagenomics to become available to JGI users.
• Co‑lead, and collaborate on the development and implementation of computational methods for the identification of virus and plasmid genomes from metagenomics and metatranscriptomic data.
• Perform large scale analysis of plasmid sequence data: build models for the detection of plasmids, develop methods to…