Berkeley Lab's (LBNL) Joint Genome Institute (JGI) has an opening for a Senior Scientific Data Engineer to join the Institutional Informatics Team!
In this exciting role, you will provide technical expertise supporting scientific data generation and computing systems that enable laboratory operations, data analysis, and project management. This role analyzes complex scientific and operational requirements and translates them into scalable, user-focused system solutions and functional specifications. You will support the design, implementation, and continuous improvement of core platforms, including laboratory workflow orchestration, genomic data generation, metadata management, status tracking, the Laboratory Information Management System (LIMS), and the Data Warehouse/Data Lakehouse. You will have the opportunity to lead major technical initiatives, apply senior-level technical judgment, independently resolve complex issues, and proactively identify business and system needs to deliver solutions that provide operational and scientific value.
This position has an anticipated start date of August 3, 2026.
What You Will Do:- Translate complex scientific, operational, and user requirements into functional specifications, system designs, and implementation plans for system enhancements, integrations, and shared data platforms.
- Design, develop, deploy, and support core systems, APIs, and workflows-including the Laboratory Information Management System (LMS), Data Warehouse/Data Lakehouse, and Proposal/Project Management platforms-that enable genomic data generation, metadata management, and laboratory operations.
- Lead the resolution of complex technical challenges, drive system improvements, and ensure production platforms are reliable, scalable, interoperable, and high-performing.
- Promote engineering best practices through technical reviews, documentation, mentorship, and continuous improvement of development and operational processes.
What We Are Looking For:- A Bachelor's Degree (or equivalent knowledge/training) in Computer Science or a related field and a minimum of 8 years of related professional experience developing, integrating, deploying, and supporting production software applications and data systems that enable metadata management, workflow orchestration, data lifecycle operations, and broad user data access to scientific and operational data or an equivalent combination of education and professional experience.
- Experience with data engineering and event-driven technologies such as Airflow, Kafka, or related tools.
- Experience working with various database and data storage technologies including relational databases, object storage platforms, and systems supporting structured, semi-structured, and large-scale datasets.
- Strong knowledge of software and data engineering fundamentals supporting large-scale production systems, including system design, APIs, testing methodologies, concurrency, reliability, scalability, interoperability, and performance optimization.
- Proficiency in Python and experience with one or more additional programming languages.
- Experience using AI-assisted development tools, with demonstrated sound judgment in evaluating and validating generated code for production suitability.
- Demonstrated ability to provide technical leadership in shaping system architecture and technical direction across cross-functional engineering groups.
- Excellent communication skills, including experience organizing and presenting complex technical information to internal teams and stakeholders.
- Demonstrated experience collaborating with stakeholders to understand project goals and translate complex scientific, operational, and user requirements into automated systems, technical specifications, and implementation plans.
Desired Qualifications:- A Master's Degree (or equivalent knowledge/training) in Computer Science or a related field.
- Experience working with Laboratory Information Management System (LIMS) software.
- Experience working with laboratory operations staff and supporting laboratory workflows.
Additional Information:- Application Date: Priority consideration will be given to candidates who apply with a resume and cover letter by June 22, 2026. Applications will be accepted until the job posting is removed.
- Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
- Salary Range: This position has a budgeted salary range of $139,440 - $174,312 annually, which fits within the full salary range of $139,440 - $235,308 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
- Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work Modality: This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab located at 1 Cyclotron Road, Berkeley, CA 94720.Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
- Relocation Assistance: This position is eligible for relocation assistance.
- Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
