Software Developer; Genomics Analysis Team - Joint Genome Institute

Overview

Berkeley Lab’s ( LBNL ) Joint Genome Institute ( JGI ) has an opening for a Software Developer to join the Genomics Analysis Team!

In this exciting role, you will support the development, maintenance, and optimization of critical infrastructure supporting large-scale genomics research. This role focuses on supporting the automation of a diverse set of genome analysis pipelines and their associated quality control processes. It is central to building the Institute’s analytical capabilities, enabling growth from processing tens to hundreds of thousands of samples in support of exciting, large-scale scientific initiatives.

This hands-on role involves building and maintaining next-generation sequencing (NGS) data processing pipelines, working with relational databases for genomics data, and creating internal web applications for data visualization and pipeline monitoring. You will work with a substantial existing codebase, learning complex systems while adding new functionality based on scientific and operational requirements. Day-to-day responsibilities include troubleshooting production systems, supporting ad-hoc analyses for research staff, design and development of new systems and producing clear, high-quality technical documentation.

The Joint Genome Institute (JGI ) is a global leader in genome science, helping shape the future of biological discovery through advanced genomic capabilities, expert support, and large-scale, AI-ready data resources. As a DOE Office of Science user facility supported by the Biological and Environmental Research (BER) program, JGI advances BER’s mission to achieve a predictive understanding of complex biological, Earth, and environmental systems in support of the nation’s energy and infrastructure security.

Through world-class capabilities in genome sequencing, synthesis, transcriptomics, metabolomics, natural products, and data science, JGI supports cutting-edge research on plants, fungi, algae, microorganisms, and microbiomes. JGI is headquartered in Berkeley, CA at Berkeley Lab’s Integrative Genomics Building (IGB) ( Virtual Tour ).

This position has an anticipated start date of July 1, 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!

Why join Berkeley Lab?

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)
• Pet insurance

• Troubleshoot complex systems and monitor performance across production data pipelines.
• Develop and maintain pipelines for processing next-generation sequencing (NGS) data.
• Design and maintain relational databases supporting large-scale genomics data.
• Build and maintain internal web applications for system monitoring and data visualization.
• Maintain and enhance a substantial codebase distributed across several code repositories.
• Implement new functionality based on evolving scientific and operational requirements.
• Produce high quality documentation for software systems and analytical approaches.
• Provide technical support for ad-hoc genomics analysis in collaboration with scientific staff.

• A minimum of 5 years of professional experience as a Software Engineer.
• Experience developing and integrating RESTful web services and creating web applications using HTML, CSS, and JavaScript.
• Demonstrated proficiency with querying and designing schemas for relational databases.
• Hands-on experience using Git and collaborative version control workflows.
• Demonstrated proficiency with BASH scripting, Python, and commonly used libraries such as pandas, matplotlib, Pillow, and FastAPI.
• Demonstrated track record of maintaining, enhancing, and supporting complex codebases.
• Demonstrated capacity to manage…