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Process Engineer, Pharmaceutical; Biologics

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: Open roles at Optimyze1
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Technical Support
  • Engineering
    Data Science Manager, Data Engineering, Technical Support
Job Description & How to Apply Below
Position: Process Engineer, Pharmaceutical (Biologics)
Location: Montreal

For Canada, you can be based in:

Toronto (GTA area), hybrid working

Montreal - remote

We're hiring a Process Sales Engineer to work with industrial customers to support the deployment of AI-driven solutions in technical and operational environments.

This is a cross-functional role that combines engineering, customer collaboration, data analysis, and technical problem-solving. You'll work with a range of stakeholders to understand operational challenges, analyze process and production data, develop models and workflows, and help drive improvements using the company's platform.

The ideal candidate is comfortable engaging with technical teams, working with data and analytical tools, and translating technical findings into practical business outcomes.

Internally, you'll act as a technical subject matter expert and advocate for customer needs across manufacturing and process-related initiatives.

Externally, you'll support enterprise customers by partnering with engineering and operations teams to maximize value from the platform, whether by improving existing workflows or helping implement new solutions.

In collaboration with Sales, Product, and Engineering, you'll also contribute to identifying new use cases and shaping future platform capabilities.

What You'll Do

Customer Engagement & Project Delivery

  • Partner with customers to support deployment and adoption of platform solutions
  • Lead onboarding and implementation efforts across technical and operational environments
  • Build relationships with engineering, operations, and leadership stakeholders
  • Identify opportunities for operational improvement and data-driven insights
  • Translate customer challenges into actionable technical solutions and product feedback
  • Support projects from discovery through implementation and impact measurement

Technical Analysis & Problem Solving
  • Analyze operational and process datasets to identify trends, bottlenecks, and optimization opportunities
  • Develop analytical models, simulations, and workflows using Python and related tools
  • Work with industrial data systems and manufacturing datasets
  • Collaborate with product and engineering teams to improve platform functionality
  • Communicate technical findings to both technical and non-technical audiences
  • Support troubleshooting and continuous improvement initiatives in complex operational settings

What You'll Need
  • 5-7 years of experience in manufacturing, process engineering, or related industrial environments, with strong understanding of biologics manufacturing
  • Understanding of production, pilot, or laboratory-scale operations
  • Experience using Python or similar tools for analysis, modelling, or automation
  • Ability to work with operational and process data
  • Strong communication and stakeholder management skills
  • Problem-solving mindset with experience driving technical or operational improvements
  • Experience working in cross-functional technical teams
  • Experience in pharmaceutical manufacturing execution systems (MES)
  • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable
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