Biotech Data Science Co-op: ML & Analytics

Bayer AG; Berkeley (CA); On-site; USD 32,000 - 63,000; Full time

Job summary

Bayer AG is seeking a Data Science Co-op in Berkeley to integrate and develop workflows for data analysis, evaluate ML methods, and apply their insights to process understanding, monitoring, and optimization in GMP manufacturing environments.

The role emphasizes collaboration with data scientists, documenting results, and contributing to bioprocess improvements while pursuing a PhD. The posting notes compensation at an hourly rate and a program available for Spring and Fall terms.

Qualifications

• Currently enrolled in a PhD program with a preferred focus in Engineering, Computer Science, Applied Math, or (Bio)Statistics.
• Excellent written and verbal communication skills.
• Ability to work with internal customers at various levels and cross-functionally.
• Willingness to learn and adapt to new topics and tools.

Responsibilities

• Develop, test, and document software for advanced data analytics in biotechnology.
• Apply machine learning and statistics to support process understanding and optimization.
• Create data analysis workflows for mining, pre-processing, and visualization.
• Mine process data from IT systems and databases.
• Evaluate diverse ML and statistical methods.
• Collaborate with data scientists on bioprocess monitoring and root cause analysis.
• Communicate outcomes to the team and document results in a concise report.

Skills

PhD candidate (Engineering/CS/Applied+

Strong communication

Cross-functional teamwork

Organization & scheduling

Problem solving

Independent multitasking

Interest in ML

Willingness to learn

Education

PhD student in Engineering/CS/Applied Math/BioStatistics

Tools

Python

R

AWS

Job description

Bayer AG is seeking a Data Science Co-op in Berkeley to integrate and develop workflows for data analysis, evaluate ML methods, and apply their insights to process understanding, monitoring, and optimization in GMP manufacturing environments.

The role emphasizes collaboration with data scientists, documenting results, and contributing to bioprocess improvements while pursuing a PhD. The posting notes compensation at an hourly rate and a program available for Spring and Fall terms.