AI Bioengineering Scientist for Self-Driving Labs

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 95,000 - 152,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Inclusive culture

Job summary

Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Computational Research Scientist in the Biological Systems and Engineering Division to advance AI-driven biomanufacturing. You will build tools and autonomous workflows that integrate AI, robotics, and synthetic biology under the PI's supervision, with an emphasis on funding opportunities and a vigorous research program.

The role requires collaborating with experimentalists and data scientists, developing predictive models, and

Qualifications

• PhD with a minimum of 3 years applying AI to guide biological experiments.
• Strong background in Python and machine learning.
• Experience with lab automation and automated workflows.
• Hands-on experience in Synthetic Biology and quantitative biology.
• Solid mathematical background and analytical problem-solving.

Responsibilities

• Apply AI and data science to guide and advance biomanufacturing.
• Develop quantitative and predictive models of cellular metabolism.
• Integrate multi-omics data into predictive models.
• Develop AI agents to analyze data and propose experiments.
• Design data management systems for biological data.
• Collaborate with experimentalists to identify opportunities and validate results.
• Develop and utilize robotic systems to automate workflows.
• Publish results and present at conferences and seminars.
• Assist with grant proposals and funding applications.
• Mentor team members and contribute to team success.

Skills

Python

Deep learning

Lab automation

Interdisciplinary collaboration

Communication skills

Education

PhD in Systems Biology or closely related field

Job description

Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Computational Research Scientist in the Biological Systems and Engineering Division to advance AI-driven biomanufacturing. You will build tools and autonomous workflows that integrate AI, robotics, and synthetic biology under the PI's supervision, with an emphasis on funding opportunities and a vigorous research program.

The role requires collaborating with experimentalists and data scientists, developing predictive models, and