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Basetwo

Process Modeller - Biologics

Remote, Canada

Remote

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Job details

Workplace: Remote
Experience: 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
Posting language: English
Posted: Oct 24, 2026

Original 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

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More about this job

Responsibilities

The Process Modeller will develop and validate mathematical models for pharmaceutical and biologics manufacturing to solve complex process challenges. They will collaborate with customer subject matter experts and cross-functional engineering teams to implement simulation solutions and support product development.

Requirements

Candidates must hold a Master's or PhD in Chemical Engineering or a related field with 1-4 years of research experience in bioprocess modeling. Proficiency in Python and a strong foundation in chemical engineering fundamentals are required for this role.

Skills

Process Modelling
Bioprocesses
Chemical Engineering
Python
Mathematical Modeling
Optimization
Control Systems
Metabolic Flux Analysis
dFBA
Chemical Kinetics
Thermodynamics
Transport Phenomena
Scientific Computing
Data Analysis
Product Development

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Process Modeller
Biologics
Pharmaceuticals
Chemical Engineering
AI
Digital Twin
Simulation
Mathematical Models
Bioprocesses
Metabolic Flux Analysis
MFA
dFBA
Python
Scientific Computing
Optimization
Control Systems
Chemical Kinetics
Thermodynamics
Transport Phenomena
Manufacturing
Product Development
Research
Engineering
Data Science

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