Sr Process Engineer, Pharmaceutical Manufacturing 170k-180k
- Canada
- Remote
- Posted Sep 18, 2026
- 1 position
$160,000–$180,000 / year
Opens an external site
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Minimum education
- Master’s degree
- Apply by
- Oct 11, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Vancouver, British Columbia, Canada
- Seniority
- Mid-Senior level
Job summary
The role involves developing AI-powered digital twins and hybrid models to optimize biopharmaceutical manufacturing processes. You will partner with customers to solve complex challenges from development through commercial scale-up.
Job details
Senior Process Development Engineer – AI-Driven Bioprocess Innovation Reinvent biopharmaceutical manufacturing by merging mechanistic modeling with AI. We are seeking a Senior Process Development Engineer to drive the next generation of AI-powered digital twins for leading pharma and biotech partners. What You’ll Do Drive Innovation: Partner with customers to solve complex process challenges, from development to commercial scale-up. Build Models: Develop first-principles, dynamic, and hybrid models that combine fundamental engineering with data-driven AI. Optimize: Translate manufacturing data into actionable strategies for process control, scale-up, and technology transfer. What You Bring Experience: 7–10+ years in pharma/biotech manufacturing, process development, or MSAT. Modeling Expertise: Strong foundation in first-principles modeling (mass/energy balances, kinetics, thermodynamics). Technical Skills: Experience with upstream (cell culture, fermentation) and downstream (chromatography, filtration) processes. Communication: Ability to translate complex technical concepts for cross-functional teams and technical customers, and a desire to be in a customer facing role Preferred Proficiency in Python, MATLAB, gPROMS, Aspen, or COMSOL. Experience with digital twins, hybrid modeling, or connecting models to pilot/manufacturing data. PhD or advanced degree in Chemical/Biochemical Engineering or Biotechnology. Why Join? Join a well-funded startup at the intersection of bio-manufacturing and AI. You will solve high-value technical challenges, influence product evolution, and move process modeling from analysis into real-time decision-making.
What you’ll do
The role involves developing AI-powered digital twins and hybrid models to optimize biopharmaceutical manufacturing processes. You will partner with customers to solve complex challenges from development through commercial scale-up.
Requirements
Requires 7-10+ years of experience in pharma/biotech manufacturing with a strong foundation in first-principles modeling. A PhD or advanced degree in Chemical/Biochemical Engineering or Biotechnology is preferred.
Listed skills
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- First-principles Modeling
- AI-Driven Bioprocess Innovation
- Digital Twins
- Upstream Processing
- Downstream Processing
- Process Development
- Scale-up
- Technology Transfer
- Python
- MATLAB
- gPROMS
- Aspen
- COMSOL
- Mass and Energy Balances
- Kinetics
- Thermodynamics
Job areas
- Engineering
- Manufacturing
- Science & Research
- Technology
- Consulting
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