Full-Stack Scientific Application Developer
Job in
Berkeley, Alameda County, California, 94709, USA
Listed on 2026-07-10
Listing for:
Berkeley Lab
Full Time
position Listed on 2026-07-10
Job specializations:
-
Software Development
Software Engineer, Full Stack Developer, DevOps, Backend Developer
Job Description & How to Apply Below
The Scientific Data Management and Usable Data Systems group in Berkeley Lab’s Scientific Data Division has an opening for a Full‑Stack Scientific Application Developer to support research and development projects across the DOE Office of Science community. In this role, you will build exciting user‑facing scientific applications, back‑end services, workflows, and data tools that help researchers manage, analyze, and use a wide array of scientific data.
You will collaborate with teams of scientists, software engineers, UX practitioners, and other cross‑functional stakeholders to develop reliable, maintainable solutions that support scientific discovery.
- Develop software tools and workflows using modern algorithms, best practices, and software engineering principles.
- Design and implement user‑friendly scientific interfaces using maintainable frameworks informed by UX research and design outputs.
- Leverage AI/ML tools to enhance both development processes and scientific applications.
- Collaborate with scientists, engineers, user experience practitioners, and cross‑functional teams to deliver impactful solutions.
- Create tests, documentation, and deployment processes; optimize, debug, and maintain production software.
- Use modern development, Dev Ops, release management, and collaboration tools and practices.
- Analyze and solve complex technical problems, exercising sound judgment in selecting appropriate methods and solutions.
- Engage with internal and external experts to share knowledge and advance project goals.
- Lead software teams in defining requirements, features, and development processes.
- Architect and implement scalable, cross‑project software solutions that improve usability, data integrity, and access.
- Drive the design and development of major software systems, setting technical direction and promoting best practices.
- Evaluate and integrate emerging AI/ML and agentic computing technologies to address advanced scientific challenges.
- Champion software engineering standards for testing, documentation, deployment, and operations.
- Mentor developers and build strategic collaborations with internal, external, and scientific computing communities.
- Communicate technical work and project outcomes to diverse audiences within and beyond the organization.
Required Qualifications
- Bachelor’s degree and 5 years of related experience; or 3 years and a Master’s degree; or an equivalent combination of education and work experience.
- Familiarity with command‑line and system administration tools in UNIX‑based operating systems like Linux or MacOS.
- Proficiency in Python and Typescript/Java script.
- Proficiency in one or more additional domain specific programming languages such as C/C++, Java, MATLAB, R, bash, etc.
- Experience developing full‑stack software solutions, including front‑end interfaces and back‑end services, using modern frameworks and development tools.
- Experience using Git‑based workflows, CI/CD pipelines, containers, and deployment practices to build, test, and maintain software applications.
- Familiarity with AI tools and frameworks, including tools for workflow automation or agentic workflows, to support software development, documentation, testing, and deployment.
- Experience collaborating with UX researchers, designers, engineers, or other cross‑functional partners to develop user‑informed software solutions.
- Experience working directly with non‑software subject‑matter experts to understand user needs, gather requirements, or translate domain needs into software solutions.
- Demonstrated ability to write clear technical documentation, such as developer guides, user documentation, API documentation, or workflow instructions for technical and scientific users.
- Excellent English written and oral communication.
- Strong interpersonal skills for working in a diverse team environment.
- Familiarity with command‑line and system administration tools Windows environments.
- Domain expertise in chemical engineering, chemistry, physics, or a related field.
- Deep understanding of the software development lifecycle.
- Experience leading UI development as part of a…
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