Scientific Data Engineer: FAIR BioData & Tools

Lawrence Berkeley National Laboratory; San Francisco (CA); Hybrid; USD 132,000 - 161,000; Full time

Benefits offered by this job

Health benefits

Retirement plans

Winter holiday shutdown

Parental leave

Job summary

Lawrence Berkeley National Laboratory is seeking a Scientific Data Engineer in the Scientific Data Division. The role focuses on software and data engineering for multi-modal data modeling, with applications in omics, structural biology, and neurophysiology.

You will create tools for scientific data management, enable FAIR data practices, and support ML usage in collaborative, cross-disciplinary teams. The position emphasizes development of high-performance computing and cloud solutions,

Qualifications

• Five years of related experience with a Bachelor's degree or three years with a Master's, or equivalent.
• Experience developing software for data modeling or analysis in a scientific/research context.
• Experience contributing to community-driven open source software.
• Experience with data management, scientific data analysis, or machine learning.
• Ability to work with domain scientists and translate requirements into designs.
• Excellent oral and written communication skills.
• Proven ability to work in a cross-disciplinary team.

Responsibilities

• Design and develop user-friendly software packages for scientific data management and analysis.
• Collaborate with domain experts to develop FAIR data models and management solutions.
• Support machine learning use of biological data by making it well-structured and accessible.
• Maintain open source software products including CI, testing, and releases.
• Design and maintain high-performance computing and cloud solutions for visualization and analysis of complex data.
• Develop ML/AI solutions for biological data in collaboration with scientists.
• Train scientists and engineers in use of software at workshops and conferences.
• Demonstrate good judgment in method selection and problem solving.
• Network with senior internal and external personnel in related areas.

Skills

Team collaboration

Written communication

Oral communication

Cross-disciplinary teamwork

Problem solving

Education

Bachelor's in CS/Data Science

Master's degree

PhD in STEM

Tools

Git

GitHub

CI/CD

HPC

Cloud computing

Job description

Lawrence Berkeley National Laboratory is seeking a Scientific Data Engineer in the Scientific Data Division. The role focuses on software and data engineering for multi-modal data modeling, with applications in omics, structural biology, and neurophysiology.

You will create tools for scientific data management, enable FAIR data practices, and support ML usage in collaborative, cross-disciplinary teams. The position emphasizes development of high-performance computing and cloud solutions,