AI-Driven Computational Biologist for Biomanufacturing

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 110,000 - 133,000; Full time

Benefits offered by this job

Health benefits

Generous paid time off

Collaborative culture

Job summary

Lawrence Berkeley National Laboratory (Berkeley Lab) seeks a Computational Biologist Research Scientist to join the Quantitative Modeling Group in the Biological Systems and Engineering Division. The role focuses on integrating AI, robotics, and synthetic biology to advance biomanufacturing and scientific discovery, with an anticipated start date of December 1, 2026.

The position emphasizes building predictive models, data integration of omics, and developing robotic workflows, while securing

Qualifications

• Ph.D. in a relevant discipline and at least 3 years applying AI to guide biological experiments
• Significant experience with Python or other major programming languages
• Experience with deep learning techniques
• Experience with lab automation and automated experimental workflows
• Experience with experimental bench work
• Strong mathematical background for quantitative analyses
• Excellent written and verbal communication skills; ability to collaborate across disciplines
• Demonstrated teamwork in interdisciplinary settings

Responsibilities

• Apply AI and data-mining approaches to guide and advance biomanufacturing.
• Develop quantitatively predictive models of cell metabolism.
• Integrate transcriptomic, proteomic, and metabolomic data into predictive models of biological systems.
• Develop AI agents to analyze complex data and suggest future research directions.
• Design and leverage data management systems for organizing biological data.
• Collaborate with experimentalists to guide and propose experiments.
• Develop, integrate, and utilize robotic systems to automate scientific workflows.
• Prepare results for publication and presentations at venues.
• Assist with grant proposals and funding applications.

Skills

Python

Deep learning

Data mining

Analytical skills

Education

Ph.D. in Systems Biology / Bioengineering / Computational Biology

Tools

Lab automation

Robotics platforms

Job description

Lawrence Berkeley National Laboratory (Berkeley Lab) seeks a Computational Biologist Research Scientist to join the Quantitative Modeling Group in the Biological Systems and Engineering Division. The role focuses on integrating AI, robotics, and synthetic biology to advance biomanufacturing and scientific discovery, with an anticipated start date of December 1, 2026.

The position emphasizes building predictive models, data integration of omics, and developing robotic workflows, while securing