Process Modelling Engineer

We’re looking for an eager and technically strong Process Modelling Engineer to develop and deploy advanced simulations across pharmaceutical manufacturing processes—from upstream bioreactors to downstream separations. You’ll play a central role in designing and implementing mechanistic and hybrid models, building modular workflows for customers, and contributing to the evolution of our ModelFlow platform. This is a hands-on, technically challenging role with opportunities for real-world impact and scientific innovation. About PolyModels Hub PolyModels Hub is transforming pharmaceutical R&D through cutting-edge modeling, simulations, and data integration. Our platform, ModelFlow, empowers scientists to accelerate development timelines, optimize processes, and make smarter decisions—combining mechanistic models, AI, and workflow automation into one unified environment. We are growing fast and looking for passionate individuals to help us deliver lasting impact to our customers and scale our platform globally. Key Responsibilities Modelling & Simulation Build and execute mechanistic and hybrid models for key unit operations across pharma processes. Develop integrated system and flowsheet models. Perform global sensitivity, identifiability, and estimability analyses. Workflow & Platform Integration Design intuitive, modular workflows to integrate into the ModelFlow platform. Collaborate with software engineers to translate models into web-based apps. Develop user-facing web applications to democratize model access for non-experts. Ensure model usability, traceability, and scalability. Automation & Data Integration Automate model execution, validation, and reporting pipelines. Use AI where appropriate to curate and standardize codebases. Interface models with structured (SQL, Databricks, Snowflake) and unstructured (e.g., Excel) datasets. Education MSc or PhD in Chemical Engineering or Process Systems Engineering. Technical Expertise Strong foundation in transport phenomena, process systems engineering, and dynamic systems modeling. Moderate to advanced experience with Python and scientific libraries (NumPy, SciPy, pandas) and optimization tools (CasADi, Pyomo). Industry Experience Experience in pharmaceutical, biotech, or CDMO sectors is a plus. Prior work in process development, scale-up, or digitalization projects. Desirable Skills Exposure to Computational Fluid Dynamics (e.g., OpenFOAM). Familiarity with data science and machine learning workflows. Publications in peer-reviewed journals on modeling, simulation, or digital twins. Soft Skills Highly analytical and detail-oriented. Strong communication and documentation skills. Self-motivated and collaborative, with a pragmatic, problem-solving mindset. Why Join PolyModels Hub? Flexible hybrid working – split your time between home and our London office. Generous time off – 26 days of annual leave plus flexible bank holidays. Modern workspace perks – access to office amenities, including collaborative spaces and refreshments. Pension contributions – competitive employer contributions to help you plan for the future. Equity incentives – participation in our Employee Incentive Plan, so you can grow with the company.