Posted 14 days ago
Process Modeller - Biologics
@ Basetwo
Remote in Canada
Overview
Basetwo is hiring a Process Modeller to build mathematical models for pharmaceutical and biologics manufacturing on its AI digital twin platform. The role works with customer subject matter experts and the Engineering team to deliver simulation solutions.
Responsibilities:
- Develop and validate mathematical models for pharmaceutical and biologics processes
- Work with customer SMEs to identify technical requirements and modelling solutions
- Contribute to product roadmaps and feature iterations with cross-functional teams
- Advocate for modelling best practices and document model structure
Requirements summary:
- Master's or PhD in Chemical Engineering or related field
- 1-4 years of research experience in bioprocess modelling and control
- Strong chemical engineering fundamentals: kinetics, thermodynamics, transport phenomena
- Research-grade Python coding with scientific libraries
- Experience leading interdisciplinary projects and communicating with non-technical audiences
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-10-23
- First seen by our source
- 2026-10-24
- Source record updated
- 2026-10-24
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Research & science |
| Experience | 1+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Chemical Engineering, Bioprocess Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Basetwo
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
AI Engineered for Manufacturing
Full company description
Basetwo is a venture-backed AI company helping pharma, specialty chemical, and cosmetics manufacturers bring products to full-scale production faster and with less risk. We give manufacturers a “digital twin” of their production process - a virtual replica that lets them simulate, test, and optimize manufacturing before running it in the real world. Instead of learning through costly mistakes on the plant floor, teams can predict performance, de-risk scale-up, and standardize tech transfer in advance. Basetwo is already deployed with leading global pharmaceutical, specialty chemical, and personal care manufacturers. We’re building the AI layer for manufacturing process development, scale-up and quality control - turning one of the slowest, riskiest parts of manufacturing into a predictable, data-driven process.
- LinkedIn followers
- 11,087
- People associated on LinkedIn
- 36
- Reported office locations
- Toronto, Ontario, CA
- 275 Newbury St, Boston, Massachusetts 02116, US
- Hamouda Bin Ali Al Dhaheri Street 111, Al Maryah Island, Abu Dhabi Emirate 22642, AE
- Business categories
- Aerospace
- Chemical
- Industrial Automation
- Industrial Manufacturing
- Manufacturing
- Oil and Gas
- Pharmaceutical
- Predictive Analytics
- Software
- Other recorded names
- Basetwo
- Basetwo AI
- Specialties
- Machine Learning
- Simulation
- Process Control
- Process Optimization
- Digital Twin
- Pharmaceuticals
- Industry 4.0
- Chemicals
- Manufacturing
- Batteries
- AI
- Cosmetics Manufacturing
- Specialty Chemicals
- Scale up
- Development
- and Tech transfer
- Profile identifies a recruitment agency
- No
- Reported total investment
- 18,423,352
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Basetwo is a venture-backed AI company helping pharma, specialty chemical, and cosmetics manufacturers bring products to full-scale production faster and with less risk. We give manufacturers a “digital twin” of their production process - a virtual replica that lets them simulate, test, and optimize manufacturing before running it in the real world. Instead of learning through costly mistakes on the plant floor…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 11-50 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Specialties | Machine LearningSimulationProcess ControlProcess OptimizationDigital TwinPharmaceuticalsIndustry 4.0ChemicalsManufacturingBatteries |
| Open jobs on Jobsy | 4 |
| View page |
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
Requirements
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
Journal
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