Process Modeller (Biologics)

Glasswing Ventures; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Basetwo is building an AI-driven platform for pharmaceutical and biologics manufacturing, seeking a Process Modeller to advance its simulation engine. You will develop models to solve process challenges in pharma and biologics, collaborating with SMEs and engineering teams to deliver product-driven simulation solutions.

The role requires a strong background in bioprocess modelling, MFA/dFBA assets, and the ability to write research-grade Python code.

Qualifications

• Masters or PhD in Chemical Engineering or related field with 1–4 years of modeling, optimization, and control of bioprocesses.
• MFA and/or dFBA experience is a strong asset.
• Solid foundation in chemical engineering fundamentals: kinetics, thermodynamics, transport phenomena.
• Ability to develop research-grade code in Python using scientific libraries.
• Proven track record leading interdisciplinary research and engineering projects.
• Experience communicating projects to technical and non-technical audiences and working in cross-functional teams.
• Product-driven thinking—mapping customer pain points to product features.

Responsibilities

• Work closely with customer SMEs to understand process challenges, define requirements and implement advanced modeling solutions.
• Research, develop and validate mathematical models for industrial pharmaceutical and biologics processes.
• Contribute to product development related to process simulation with cross-functional teams and customer feedback.
• Advocate for best practices within the modeling and simulation team.
• Document research activities and model structures in product specifications.

Skills

MFA

dFBA

Process modelling

Python coding

Interdisciplinary research

Cross-functional teamwork

Education

Masters/PhD in Chemical Eng

Tools

Python

Job description

About Basetwo

Basetwo is building the AI layer for pharmaceutical and chemical manufacturing. Our AI-powered digital twin platform helps manufacturers accelerate the journey from lab to commercial production through faster scale-up/tech transfer, and de-risked quality control. Trusted by leading global manufacturers, we're bringing modern AI to one of the world's most complex and impactful industries. Our team combines expertise across chemical engineering, manufacturing, AI, and software to tackle high-impact industrial problems.

The Role

Simulation is at the heart of the Basetwo platform, and our science team is looking to bring on an expert in Process Modelling who will be able to make significant technical contributions to our process simulation engine. The Process Modeller will be responsible for developing mathematical models for the Basetwo platform to solve modelling and control applications in pharmaceuticals and biologics manufacturing. Our ideal candidate will partner with our Customer’s subject matter experts (SMEs) and our Engineering team to deliver product-driven simulation solutions to solve customer challenges.

What You’ll Do

As a Process Modeller, you will:

• Work closely with customer’s SMEs to understand their process challenges, identify technical requirements and implement advanced modeling solutions
• Research, develop and validate mathematical models for industrial processes in pharmaceuticals and biologics manufacturing
• Contribute to product development as it relates to process simulation in collaboration with cross-functional teams, supporting roadmaps and feature iterations based on customer feedback
• Advocate for best practices among the modeling and simulation team
• Document research activities and model structure in well-structured product specification documents

This role is a fit for someone whose core expertise is in bioprocesses and pharma/biologics manufacturing. To be successful in this role you will have:

• Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research experience in modeling, optimization and control of bioprocesses
• Hands-on experience with metabolic flux analysis (MFA) and/or dFBA is a strong asset
• Strong foundation in core chemical engineering fundamentals, including chemical kinetics, thermodynamics, and transport phenomena is a must
• Ability to develop research-grade code in Python leveraging scientific computing libraries
• Demonstrated track record of starting and leading interdisciplinary research and engineering projects
• Experience communicating projects to both technical and non-technical audiences, and working on cross-functional teams
• Product-driven thinking - an ability to map customer pain points to product features