Data Science Intern

Location: Vacaville, CA

We are actively recruiting candidates to participate in our 2026 On-site Internship program. This position is 12 weeks in length and will immerse you in the culture and operations of Lonza Vacaville. 

The internship begins in May/June and ends in August. Potential interns must be able to commit to at least 40 hours per week throughout the summer. 

We are seeking a motivated Data Science Intern to join our Data Sciences and Innovation team. This internship offers a unique opportunity to work at the intersection of bioprocessing, advanced analytics, and machine learning. The successful candidate will contribute to developing predictive models that enhance process understanding and control in mammalian cell culture manufacturing. 

What you will get:

The full-time hourly rate for this position is expected to range between $26 -$38. Compensation for the role will depend on a number of factors, including the successful candidate’s qualifications, skills, competencies, experience, and job-related knowledge.

What you will do:

• Develop machine learning models using Process Analytical Technology (PAT) measurements, i.e., Raman Spectroscopy data, for cell culture process monitoring and control.
• Assess model performance for multiple cell culture metabolites (i.e., glucose, lactate, etc.) and evaluate model generalizability and robustness across various products and processes.
• Architect efficient and modularized pipeline for high-dimensional data transformation, feature engineering and selection, and model training.
• Explore predictive modeling approaches for Critical Quality Attributes (CQAs) that could be monitored and/or controlled in the upstream production bioreactor.
• Summarize findings and provide recommendations for future validation and implementation strategies.
• Collaborate with process scientists, data engineers, and manufacturing teams to ensure alignment with operational needs.

What we are looking for:

• Completion of junior year (typically 90 credits) towards a B.S. degree in Data Science, Computer Science, Chemical Engineering, Bioinformatics, or a related field.
• Must currently be enrolled in BS or MS Academic Program.
• Minimum cumulative GPA of 3.0 (out of 4) required. 
• Proficiency in scripting languages (e.g., Python or R), and data querying languages (e.g., SQL).
• Expertise in ML, statistical modeling, and multivariate analysis, with a strong background in data pre-processing, experimentation, and visualization. 
• Knowledge of spectroscopy or bioprocessing concepts, and statistical software (e.g., JMP or SIMCA) is a plus.
• Strong analytical and problem-solving skills, with the ability to communicate technical findings clearly to non-technical stakeholders. 

Work Environment

This job position involves working in a laboratory setting with potential hazardous chemicals and other laboratory related hazards. All employees must practice safe work habits, including complying with all safety, health, and environmental rules and regulations. 

About Lonza

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.