Data Science Co-Op

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

Benefits offered by this job

Health care

Vision

Dental

Retirement

PTO

Job summary

Bayer is offering a co-op role in Berkeley to develop workflows for data analytics applications in the biopharmaceutical sector. You will evaluate machine learning methods and implement data analysis pipelines to support process understanding, monitoring, and optimization in GMP environments.

The program runs in 2027, with Spring and Fall cohorts, and pays hourly with benefits. Strong programming and communication skills are required, plus solid math/computing foundations.

Qualifications

• PhD candidate in Engineering/CS/Applied Math or (Bio)Statistics.
• Undergraduate degree in Engineering/CS/Applied Math or (Bio)Statistics.
• Strong verbal and written communication skills.
• Ability to work with internal customers at various levels.
• Ability to work well in a team and cross-functionally.
• Strong organization, documentation, prioritization, and scheduling skills.

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 of data.
• Develop code in Python, R, and other languages.
• Support mining of process data from IT systems and databases.

Skills

Machine learning

Python/R

Communication skills

Teamwork

Independent multitasking

Cloud experience

Education

PhD candidate in Engineering/CS/Applied Math or (Bio)Statistics

Undergraduate degree in Engineering/CS/Applied Math or (Bio)Statistics

Tools

Python

R

Job description

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

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

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.

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

Contact Us

Email: [e-mail]