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- Tasks: Develop and deploy advanced simulations for pharmaceutical manufacturing processes.
- Company: Join PolyModels Hub, transforming pharmaceutical R&D with cutting-edge technology.
- Benefits: Enjoy flexible hybrid working, generous time off, and modern workspace perks.
- Why this job: Make a real-world impact in scientific innovation and process optimisation.
- Qualifications: MSc or PhD in Chemical Engineering; strong Python skills required.
- Other info: Collaborative environment with opportunities for growth and equity incentives.
The predicted salary is between 36000 - 60000 £ per year.
We are 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 will 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.
Process Modelling Engineer in London employer: PolyModels Hub
Contact Detail:
PolyModels Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Process Modelling Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical and biotech sectors on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling and simulation projects. Whether it's a GitHub repository or a personal website, let us see your work in action. This is your chance to demonstrate your technical expertise and creativity!
✨Tip Number 3
Prepare for those interviews! Research common questions for Process Modelling Engineers and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. Confidence is key, so get ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team. Don’t forget to tailor your application to highlight how your skills align with our ModelFlow platform!
We think you need these skills to ace Process Modelling Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Process Modelling Engineer role. Highlight your relevant experience in modelling, simulations, and any specific projects that align with our work at PolyModels Hub.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this role and how your skills can contribute to our ModelFlow platform. Be genuine and let your passion for pharmaceutical R&D shine through!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in Python and scientific libraries. If you’ve worked on any relevant projects or have publications, make sure to include those as well!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at PolyModels Hub!
How to prepare for a job interview at PolyModels Hub
✨Know Your Models
Make sure you brush up on your understanding of mechanistic and hybrid models. Be ready to discuss how you've applied these in past projects, especially in pharmaceutical processes. This will show your technical strength and eagerness for the role.
✨Showcase Your Coding Skills
Since Python and scientific libraries are key for this position, prepare to demonstrate your coding skills. Bring examples of your work or even be ready to solve a coding challenge during the interview. This will highlight your practical experience and problem-solving abilities.
✨Understand the Platform
Familiarise yourself with the ModelFlow platform and its functionalities. Being able to discuss how you would integrate workflows or improve user experience will impress the interviewers and show that you're proactive about contributing to their goals.
✨Communicate Clearly
Strong communication skills are essential, so practice explaining complex concepts in simple terms. Prepare to discuss your previous collaborative experiences and how you’ve documented your work. This will demonstrate your ability to work well in a team and ensure model usability.