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- Tasks: Develop and simulate models for pharmaceutical processes while collaborating with innovative teams.
- Company: Join PolyModels Hub, a leader in 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 impact in pharma development while gaining hands-on experience in a dynamic environment.
- Qualifications: PhD student in Chemical Engineering or related fields with Python programming skills.
- Other info: Be part of a fast-growing team with excellent career growth opportunities.
The predicted salary is between 500 - 1500 £ per month.
We are offering a part-time internship for a PhD student in (Bio)Chemical Engineering or Process Systems Engineering interested in applying their modeling knowledge to pharmaceutical development. You'll collaborate with our modeling and platform teams to support the development of simulations and model-driven workflows that enhance decision-making in process development. The internship will expose you to both scientific and practical aspects of deploying models in a digital platform environment.
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
- Model Development & Simulation
- Contribute to the development of mechanistic and hybrid models for unit operations (e.g., reactors, chromatography, crystallization).
- Support model integration and dynamic simulation in Python.
- Assist with sensitivity, identifiability, and parameter estimation analyses.
- Workflow & Platform Support
- Build or refine user-friendly modeling workflows for deployment in ModelFlow.
- Support the development of light-weight apps or dashboards for internal testing and prototyping.
- Automation & Data Handling
- Help automate model runs and reporting pipelines.
- Interface models with structured data (SQL, Databricks) and unstructured data (e.g., Excel).
Requirements
- Education
- Currently enrolled in a PhD program in Chemical Engineering, Process Systems Engineering, or related fields.
- Skills & Interests
- Exposure to dynamic modeling, mass/energy balances, and reaction kinetics.
- Interest in simulation, modeling workflows, and their application in real-world pharma/biotech contexts.
- Basic to intermediate Python programming skills, especially with scientific libraries (e.g., NumPy, SciPy, pandas).
- Nice to Have
- Experience with Pyomo or CasADi.
- Familiarity with bioprocesses or pharma case studies.
- Curiosity about AI, workflow automation, or cloud-based platforms.
- Soft Skills
- Proactive, reliable, and self-organized.
- Clear communicator and team collaborator.
- Eager to learn and contribute to applied R&D in industry.
Benefits
- 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.
PhD Internship in London employer: PolyModels Hub
Contact Detail:
PolyModels Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Internship in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at PolyModels Hub on LinkedIn. A friendly chat can give us insider info about the company culture and what they really value in candidates.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding dynamic modelling concepts. We want to show that we can hit the ground running and contribute to the team right away!
✨Tip Number 3
Don’t just talk about your skills—show them! If you’ve worked on relevant projects, bring along examples or even a portfolio. This will help us stand out and demonstrate our hands-on experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us that you’re genuinely interested in joining the PolyModels Hub team.
We think you need these skills to ace PhD Internship in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the internship. We want to see how your background in (Bio)Chemical Engineering or Process Systems Engineering makes you a great fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pharmaceutical development and how your modelling knowledge can contribute to our projects at PolyModels Hub.
Showcase Your Skills: Don’t forget to mention your Python programming skills and any experience with dynamic modelling or simulations. We love seeing how you can apply these skills in real-world contexts, especially in pharma!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your materials 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 knowledge of mechanistic and hybrid models, especially in the context of unit operations like reactors and chromatography. Be ready to discuss how you've applied these concepts in your studies or projects.
✨Show Off Your Python Skills
Since Python programming is key for this role, prepare to demonstrate your skills with scientific libraries like NumPy and pandas. You might even be asked to solve a coding problem, so practice writing clean, efficient code beforehand.
✨Understand the Company’s Mission
Familiarise yourself with PolyModels Hub and their platform, ModelFlow. Knowing how they integrate AI and workflow automation into pharmaceutical development will show your genuine interest and help you align your answers with their goals.
✨Be Ready to Collaborate
As teamwork is crucial, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you can contribute to a team environment, especially in a fast-paced setting like R&D.
