Position: Manufacturing Process Engineer
Location: Hybrid 3 days/week in Boston, MA
Duration: 12 month contract
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.
