About the role#
This co-op role involves integrating and developing workflows for data analysis applications. You will evaluate machine learning and advanced statistical methods to support process understanding, monitoring, and optimization in biopharmaceutical process development and manufacturing environments.
What you'll do#
- Develop, test, and document software applications and methods to improve the efficiency of advanced data analytics.
- Use machine learning and advanced statistical methods to support process monitoring and optimization.
- Build data analysis applications and workflows for mining, pre-processing, and visualization.
- Write code in multiple programming languages.
- Mine process data from IT systems and databases.
- Collaborate with data scientists on projects related to bioprocess monitoring and root cause analysis.
- Communicate development outcomes to the team and document results in technical reports.
What you'll need#
- Current enrollment in a PhD program, preferably in Engineering, Computer Science, Applied Math, or (Bio)Statistics.
- An undergraduate degree in Engineering, Computer Science, Applied Math, or (Bio)Statistics.
- Programming experience in multiple languages or environments.
- Strong problem-solving skills and critical thinking.
- Ability to work independently, multi-task, and learn new technical topics.
- Strong verbal and written communication skills.
- Ability to work effectively with team members and cross-functional partners.
- Good organization, documentation, and scheduling skills.
- Familiarity with cloud environments is preferred.
Location & details#
- Location: Berkeley, California.
- Term: Winter, Summer, or Fall 2027.
- Modality: On-site.
- Employment: Full-time, paid position.
About Bayer
Bayer is a global enterprise focused on healthcare and nutrition. The company operates in the life sciences sector with specialties in pharmaceuticals, consumer health, and crop science. It maintains a large workforce of over 95,000 employees across international locations. Headquartered in Leverkusen, Germany, the organization develops products intended to address health and food security needs.
How to get in at Bayer
Applying early to Bayer is a clear advantage because recruiters often review the first wave of candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your materials in before the pile grows. Being among the first to apply ensures your profile is visible during the initial screening phase. You can use this timing to your benefit by focusing your energy on the roles that align best with your background. Reaching out to the people actually hiring for these roles often yields better results than submitting an application into a general queue. Intern Insider surfaces the recruiters behind Bayer's roles so you can contact them directly to ask about the position or request a referral. A brief, professional inquiry can materially improve your response rates compared to a standard online submission.



