MSAT Scientist - Data Analyst

LonzaVacaville, CA
$95,250 - $158,750Onsite

About The Position

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.

Requirements

  • 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.

Responsibilities

  • 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.

Benefits

  • 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
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