MSAT Scientist - Data Analyst

Location: Vacaville, CA

This is a fully site‑based role. Working together in person supports close, real‑time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards.

MSAT Scientist - Data Analyst will support the development and deployment of advanced data products and analytics solutions to support biologics manufacturing operations. This role will assist strategic initiatives, and influencing site-level digital transformation. The candidate will apply technical expertise in data engineering, statistical modeling, and bioprocessing to optimize manufacturing performance and ensure data integrity in GMP environments. 

What you will get:

The full-time base annual salary for this position is expected to range between $95,250 to $158,750.  In addition, below you will find a comprehensive summary of the benefits package we offer:

• Performance-related bonus

• Medical, dental and vision insurance

• 401(k) matching plan

• Life insurance, as well as short-term and long-term disability insurance

• Employee assistance programs

• Paid Time Off

What you will do:

• Support the design and implementation of predictive models for process optimization, deviation detection, and yield improvement. 

• Analyze manufacturing data from systems such as LIMS, MES, and PAT using statistical and machine learning techniques. 

• Collaborate with manufacturing, process development, and quality teams to develop high-impact data products using batch records, process parameters, alarms, and time-series data. 

• Assist with maintaining robust ETL pipelines and data schemas to support scalable analytics 

• Ensure compliance with GMP, data governance, and regulatory standards. 

• Prototype emerging technologies (e.g., Raman spectroscopy, RAG, generative AI) for manufacturing applications. 

• Contribute to the development of site-level digital strategy. 

What we are looking for:

• Bachelor’s or advanced degree in scientific/life sciences/engineering field.

• Strong proficiency in Python, R, SQL, and data visualization tools (Power BI, Tableau) 

• Expertise in statistical modeling, machine learning, and multivariate analysis 

• Familiarity with GMP-compliant environments and manufacturing systems (SAP, OSIsoft PI, MES) 

• Excellent problem-solving and communication skills 

• Ability to work collaboratively across technical and operational teams. 

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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.