Jobs · Massachusetts

Manufacturing Process Engineer

Marchon Partners · Boston, MA · 1 mo ago
HybridContract

About the Role

Marchon's biotech client is seeking an experienced Advanced Manufacturing Process Analytics Contractor to join our team for a 12-month assignment. This role is critical in driving data integration, visualization, and insight generation across small molecule and cell & gene therapy manufacturing operations. The ideal candidate will bring a strong background in pharma/biotech data analytics, with the ability to combine complex data sources, build impactful visualizations, and enable data-driven decisions that advance manufacturing excellence. This is a highly collaborative role requiring both technical depth and strong communication skills. You will partner closely with cross-functional stakeholders in MS&T and IT to deliver scalable analytics solutions that improve process understanding and performance.

Required Qualifications

  • Bachelor's or Master's degree in Engineering, Data Science, Statistics, Computer Science, or related field
  • 5+ years of experience in pharma/biotech data analytics, preferably within MS&T, manufacturing, or process development
  • Programming & Visualization: Python (Dash), JMP, MATLAB
  • Data Platforms: Snowflake, PI Data Historian, TIBCO Statistica/Spitfire
  • Cloud Deployment: AWS-based web app development and deployment
  • Strong understanding of pharma/biotech manufacturing data and GMP-related systems
  • Excellent written and verbal communication skills, with the ability to distill complex analyses into clear, actionable insights

Preferred Qualifications

  • Experience with advanced therapies (cell & gene) as well as small molecule manufacturing analytics
  • Familiarity with data engineering best practices, ETL pipelines, and API integrations
  • Experience applying multivariate statistics, machine learning, Generative AI or advanced modeling in a manufacturing context
  • Strong interpersonal skills with a proven track record of stakeholder collaboration across technical and business teams

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