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- Tasks: Develop and deploy advanced simulations in pharmaceutical manufacturing processes.
- Company: Join PolyModels Hub, transforming pharmaceutical R&D with cutting-edge technology.
- Benefits: Enjoy flexible hybrid working, generous time off, and competitive pension contributions.
- Why this job: Make a real-world impact while innovating in a dynamic and collaborative environment.
- Qualifications: MSc or PhD in Chemical Engineering; strong Python skills required.
- Other info: Access modern workspace perks and equity incentives for career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Requirements
- 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 employer: PolyModels Hub Ltd
Contact Detail:
PolyModels Hub Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Process Modelling Engineer
✨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, having tangible examples of your work can really set you apart. We love seeing what you can do!
✨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!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a real impact. Don’t miss out on the chance to join us at PolyModels Hub!
We think you need these skills to ace Process Modelling Engineer
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 pharmaceutical processes and any technical skills that match the job description. We want to see how you can contribute to our ModelFlow platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about process modelling and how your background aligns with our mission at PolyModels Hub. Let us know what excites you about the role and our innovative approach.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in Python and scientific libraries. If you've worked on similar projects or have experience with automation and data integration, make sure to mention it. We love seeing hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at PolyModels Hub Ltd
✨Know Your Models Inside Out
Make sure you’re well-versed in mechanistic and hybrid models, especially those relevant to pharmaceutical processes. Be ready to discuss your previous experiences with modelling and simulations, and how they can apply to the role at PolyModels Hub.
✨Showcase Your Technical Skills
Brush up on your Python skills and be prepared to talk about your experience with scientific libraries like NumPy and SciPy. If you’ve worked with optimisation tools like CasADi or Pyomo, make sure to highlight that as well!
✨Demonstrate Collaboration
Since this role involves working closely with software engineers, think of examples where you’ve successfully collaborated in a team. Highlight your communication skills and how you’ve contributed to projects that required teamwork.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Think of specific challenges you’ve faced in past roles and how you approached them. This will show your pragmatic mindset and ability to tackle complex issues.
