Software Developer; Joint BioEnergy Institute

Staff Software Developer

Berkeley Lab's (LBNL) Biological Systems and Engineering (BSE) Division has an opening for a Staff Software Developer to join the Joint Bio Energy Institute (JBEI)!

JBEI is a U.S. Department of Energy (DOE) Bioenergy Research Center dedicated to developing advanced biofuels—liquid fuels derived from the solar energy stored in plant biomass that can replace gasoline, diesel and jet fuels.

In this exciting role, you will develop advanced software, AI-driven workflows, and web applications that support analysis and optimization of bioenergy and bioproduct systems. You will have the opportunity to work with multidisciplinary research teams, focus on building algorithms, user interfaces, and scalable tools for biorefinery siting, crop yield prediction, and assessment of costs and environmental impacts. You will integrate AI, data management, and analytics on LBNL computing infrastructure while applying statistical and machine learning methods to bioprocess models, mentoring a small team of researchers, collaborating with scientists to translate research needs into software solutions, and improving existing codebases through high-quality, maintainable software engineering practices.

This position has an anticipated start date of August 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 benefits.
• Generous paid time off, sick time off, and holidays.
• A culture where you'll belong - we are invested in our teams!

What You Will Do:

• Collaborate with researchers in JBEI's Lifecycle, Economics and Agronomy Division (LEAD) to develop, maintain, and enhance web applications for geospatial analysis, technoeconomic analysis, lifecycle assessment, and AI-enabled bioenergy modeling.
• Lead and mentor a small team developing web-based modeling and AI tools.
• Maintain secure, reliable, and high-performing servers, databases, and web applications through regular updates, debugging, and feature enhancements.
• Partner with scientific, academic, and industry users to improve application functionality, usability, and research impact.
• Implement user analytics and reporting systems to monitor application usage and engagement.
• Apply software engineering best practices, including code reviews, version control, testing, issue tracking, and iterative development.
• Develop computational, statistical, and machine learning methods to model and evaluate bioenergy and bioproduct production systems.
• Release datasets to public repositories, present project progress, deliver milestones on schedule, and foster a collaborative, inclusive team environment.

What is

Required:

• A Bachelor's Degree (or equivalent knowledge/training) in Computer Science, Bioinformatics, Life Sciences, Engineering or related field and a minimum of 8 years of relevant professional experience programming in Python and R for the management of large environmental datasets or an equivalent combination of education and professional experience.
• Demonstrated success designing, implementing, and supporting moderately complex systems and software related to energy/environmental systems.
• Experience with JavaScript, HTML and CSS for developing frontend user interfaces for web applications.
• Experience with agentic AI applications, a variety of statistical analysis, and machine learning techniques.
• Experience using remote servers, and willingness to learn skills necessary for submitting batch jobs using supercomputing resources.
• Experience using parallel programming techniques to improve and optimize computational efficiency.
• Experience with containerization tools such as Docker and one or more of the following databases:
  PostgreSQL, SQLite, MongoDB.
• Demonstrated analytical skills, including experience identifying issues, problem solving, independently making sound judgments, and recommending creative solutions to complex problems.
• Excellent…