We're on a mission to make manufacturing faster, smarter, and more resilient.
Basetwo is a fast growing Toronto-based startup backed by Boeing and some of the top VCs in the Boston, Toronto, and Bay Area ecosystems. Our platform is a cloud-based SaaS that enables manufacturing engineers to rapidly design, build and operationalize “digital twins” in order to optimize their production processes. Using Basetwo, engineers can rapidly simulate critical manufacturing equipment in order to understand behavior, improve KPIs, and mitigate operational failures.
Simulation is at the heart of the Basetwo platform, and the founding team is looking to bring on a world-class expert in Process Modelling who will be able to make significant technical contributions to our process simulation engine. The Senior Process Modeller will be responsible for developing thermodynamic/mass balance models, as well as control and optimization solutions for the Basetwo platform to solve pharmaceutical and chemical manufacturing use cases. 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 DoAs a Senior Process Modeller, you will be responsible for:
- Work directly with manufacturing SMEs to understand their challenges, identify technical requirements and implement advanced modeling solutions
- Build heat and mass balance model templates for real-world pharmaceutical and chemical processes (i.e. distillation columns, reactors etc.)
- Drive product development as it relates to simulation: Collaborating with cross-functional teams to support roadmaps, feature iterations based on customer feedback
- Work on cutting edge algorithms for model predictive control and real-time optimization applications
- Provide senior guidance as it relates to Basetwo's simulation and control strategy and solution development
- Advocate for best practices among the simulation team
- Support customer SMEs with configuring, training and deploying simulation models with manufacturing and lab datasets
Requirements
What You'll Need
To be successful in this role you will have:
- BASc or MASc in Chemical Engineering or equivalent
- 5+ years of experience with process modeling in real-world/industrial environments
- Comfort building first principle models from scratch in Python, reading/searching through research/academic literature to research complex problems
- Significant experience with Python scientific/engineering computing stack: dataframes (Pandas), Numpy, Scipy and data visualization tools (e.g., matplotlib)
- Proven skills in modeling, with demonstrable research/work related to process control, optimization, simulation and time series data
- Product-driven thinking - an ability to map customer pain points to product features
- Strong technical communication skills, comfortable with delivering technical presentations