Process Modeller (Biologics)

Basetwo AI; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Basetwo AI is seeking a Process Modeller to develop and validate mathematical models for the Basetwo platform, focused on pharmaceutical and biologics manufacturing. You will collaborate with customers' SMEs and our engineering team to deliver simulation solutions that address real challenges.

The role requires a Masters or PhD in Chemical Engineering (1–4 years of modeling experience), strong kinetics/thermodynamics knowledge, and ability to write research-grade Python code.

Qualifications

• Masters or PhD in Chemical Engineering with 1–4 years of research experience in modeling, optimization and control of bioprocesses.
• Strong foundation in chemical kinetics, thermodynamics, and transport phenomena.
• Ability to develop research-grade code in Python leveraging scientific computing libraries.
• Experience communicating projects to both technical and non-technical audiences and working on cross-functional teams.

Responsibilities

• Develop mathematical models for industrial processes in pharmaceuticals and biologics manufacturing.
• Research, develop and validate mathematical models for the Basetwo platform.
• Collaborate with customers' SMEs and engineering teams to deliver simulation solutions.
• Document research activities and model structure in product specifications.

Skills

Cross-functional collaboration

Research communication

Product-minded thinking

Education

Masters or PhD in Chemical Engineering

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 and our engineering team to deliver product-driven simulation solutions to solve customer challenges.

What You’ll Do

• 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

Requirements

• 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