Biologics Process Modeller
About the job
- A Master's 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 dynamic flux balance analysis (dFBA) is an asset.
- A strong foundation in chemical engineering fundamentals, including chemical kinetics, thermodynamics, and transport phenomena.
- Ability to develop research-grade code in Python using scientific computing libraries.
- Demonstrated track record of starting and leading interdisciplinary research and engineering projects.
- Experience communicating projects to technical and non-technical audiences and working on cross-functional teams.
- Product-driven thinking and the ability to map customer pain points to product features.
- Work closely with customers’ subject matter experts to understand process challenges, identify technical requirements, and implement advanced modeling solutions.
- Research, develop, and validate mathematical models for industrial processes in pharmaceutical and biologics manufacturing.
- Contribute to product development related 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.
- Hands-on experience with metabolic flux analysis (MFA) and/or dynamic flux balance analysis (dFBA) is a strong asset.
About the company
BaseTwo.ai provides AI-powered manufacturing optimization through a platform that builds digital twins of manufacturing processes, allowing engineers to simulate and optimize operations in a risk-free virtual environment. The system uses AI to recommend the next best action for critical equipment, targeting reductions in energy and material use by 20-30% and cutting manufacturing and assembly cycle times by up to 40% through optimized task sequencing, resource allocation, and standard operating procedures. It also helps engineers assess the carbon footprint of daily control decisions, supporting production goals while pursuing net-zero emissions targets. The business model is likely subscription or usage-based, and the company is trusted by Fortune 500 industry leaders, indicating strong market presence. The goal is to help manufacturers reduce costs, improve efficiency, and minimize environmental impact with scalable AI-driven digital twin technology.
Company Size
11-50
Company Stage
Series A
Total Funding
$23.5M
Headquarters
Toronto, Canada
Founded
2022
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Simplify's Take
What believers are saying
- Canada selected Basetwo for the 2026 AI Compute Access Fund.
- Basetwo joined AWS Generative AI Accelerator and Canada's VivaTech 2026 delegation.
- Basetwo claims five Top 20 pharma customers and measurable cycle-time reductions.
What critics are saying
- Basetwo remains dependent on pharma and chemical budgets; procurement cycles slow 2026 expansion.
- AWS Marketplace and accelerator placement strengthen distribution, but hyperscalers can commoditize workflow software.
- If AutoPilot disappoints in regulated plants, Basetwo loses differentiation and Series A momentum.
What makes Basetwo unique
- Basetwo combines physics models and machine learning for GMP manufacturing optimization.
- Basetwo targets pharma, chemicals, cosmetics, and polymers with low-code digital twins.
- Basetwo's AutoPilot moves from recommendation software toward autonomous manufacturing control.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Disability Insurance
- Flexible Work Hours
- Stock Options
- Life Insurance