Data Science Co-Op

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

Data Science Co-Op

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In this co‑op role, you will integrate and develop workflows for data analysis applications, evaluate machine learning and advanced statistical methods, and explore their applications in the biopharmaceutical industry to support process understanding, monitoring, and optimization in process development and GMP manufacturing environments.

Co-op Program Dates:

Spring Co-op: January 11, 2027 – June 11, 2027

Fall Co-op: May 17, 2027 or June 14, 2027 – December 10, 2027

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role include:

• Develop, test, and document software applications and methods to increase the efficiency of advanced data analytics applications in the biotechnology industry;
• Use machine learning and advanced statistical methods to support process understanding, monitoring, and optimization;
• Develop data analysis applications and workflows for mining, pre‑processing, and visualization of data;
• Support mining of process data from IT systems and databases;
• Evaluate and apply different machine learning and advanced statistical methods;
• Interact with data scientists to support activities and projects in the areas of bioprocess monitoring, root cause analysis, process understanding, and process improvements;
• Communicate the outcome of development activities to the team;
• Document project outcomes in a short technical report.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Skills and Experience:

• Currently enrolled in a PhD program with a preferred focus in Engineering, Computer Science, Applied Math, or (Bio)Statistics;
• Strong verbal and written communication skills;
• Ability to deal professionally with internal customers of various organizational levels;
• Ability to work effectively within the team and cross‑functionally;
• Good organization, documentation, prioritization, and scheduling skills, together with an overall desire to learn;
• Strong problem‑solving skills and critical thinking;
• Ability to learn new technical topics;
• Ability to work independently and multi‑task;
• Interest in machine learning applications (some experience is preferred);
• Programming experience in multiple languages/environments (such as Python, R, etc.);
• Familiarity or experience with cloud environments (e.g., AWS, GCP, Azure) preferred.

Employees can expect to be paid an hourly rate of approximately between $22.75 to $45.50. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

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