Data Science Co-Op

Bayer CropScience Limited; Berkeley (CA); On-site; USD 31,000 - 63,000; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement

PTO

Sick leave

Job summary

Bayer CropScience Limited in Berkeley, CA is seeking a Data Science Co-Op to develop workflows, apply machine learning and statistics, and support data-driven process understanding in GMP manufacturing settings.

You will code in Python and R, collaborate with data scientists, and document outcomes in short technical reports. Spring and Fall terms are available, with competitive hourly compensation and benefits.

Qualifications

• PhD student or equivalent with focus in Engineering, Computer Science, Applied Math, or (Bio)Statistics
• Undergraduate degree in Engineering, Computer Science, Applied Math, or (Bio)Statistics
• Proficient communication and ability to interact with internal customers
• Ability to work in cross-functional teams and manage multiple tasks
• Interest in ML applications and programming in Python or R

Responsibilities

• Develop, test, and document software and methods to improve data analytics workflows.
• Apply ML and advanced statistics for process understanding, monitoring, and optimization.
• Develop data analysis applications for mining, preprocessing, and visualization of data.
• Code in Python and R across multiple projects.
• Support mining of process data from IT systems and databases.
• Evaluate and apply various ML and statistics methods.
• Collaborate with data scientists on bioprocess monitoring and improvement projects.
• Document project outcomes in concise technical reports.

Skills

PhD program

Strong communication

Team collaboration

Programming (Python/R)

Independent multi-tasking

Education

PhD program in Engineering/CS/Math/Statistics

Undergraduate degree in Engineering/CS/Math/Statistics

Tools

Python

R

Cloud environments (AWS/GCP/Azure)

Job description

Data Science Co-Op

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

• 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;
• Develop code in multiple programming languages (e.g., Python, R, etc.);
• 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;
• Undergraduate degree 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 does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Bayer is an E-Verify Employer.

Location: United States : California : Berkeley

Division: Pharmaceuticals

Reference Code: 882871

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