Process Modeller

About Basetwo

We're on a mission to make manufacturing faster, smarter, and more resilient.

Basetwo is a fast-growing Toronto-based AI startup backed by some of the top VCs in the Boston, New York, and Bay Area ecosystems. We work with some of the largest Fortune 500 chemical, cosmetics and pharmaceutical manufacturers and provide their process engineers and scientists with a next‑generation AI platform. Our platform provides these engineers with the ability to build digital twins of their production processes in order to accelerate and optimize process development, scale up and quality control.

Simulation is at the heart of the Basetwo platform, and the 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 fluid flow and mixing applications in pharma, cosmetics, and chemical manufacturing.

The 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.

• 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 real‑world cosmetics and chemical processes (e.g. emulsions, multi‑phase mixing)
• 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

• Bachelor’s in Chemical Engineering or a related technical field and 2‑4 years of experience, OR Master’s or PhD in Chemical Engineering or a related technical field and 1‑2 years of academic/industrial research experience
• Must have experience in fluid dynamics, rheology, emulsions and population balance modeling
• 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
• Experience working on cross‑functional teams
• Product‑driven thinking – an ability to map customer pain points to product features

• Extended Healthcare Plan (Medical, Disability, Dental & Vision)
• Work From Home – Flexible hours
• Stock Option Plan
• Group Life – AD&D – Critical Illness Insurance
• Co‑working Space available in Toronto & Vancouver

CAD $100,000 – $130,000 + equity, based on experience.

• Intro call with People Ops
• Take Home Assessment
• Technical Panel Review of the take home assessment
• Technical Science Team Interview
• Technical CX Team Interview