Process Modelling Engineer

CozensWain; Sheffield; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A fast-growing Series B MedTech company in the UK is seeking a Process Modelling Engineer. You will develop mechanistic and hybrid models for bioprocesses and create intuitive modeling workflows used across the company's platform. The ideal candidate has a STEM MSc or PhD and solid experience with Python and scientific tools. Applicants should possess strong analytical skills and a collaborative mindset to accelerate bioprocess innovations. This role offers a hybrid working model, primarily based in Cambridge or Oxford.

Qualifications

• Strong background in transport phenomena, systems modelling, and process engineering.
• Solid experience with Python and scientific/optimization tools such as NumPy, SciPy, pandas, CasADi, and Pyomo.
• STEM MSc or PhD required.

Responsibilities

• Build mechanistic and hybrid models across upstream and downstream bioprocesses.
• Create modular, intuitive modelling workflows and web-based tools.
• Automate model execution, validation, and reporting pipelines.

Skills

Transport phenomena understanding

Systems modelling

Process engineering

Python programming

Optimization tools

Education

STEM MSc or PhD

Tools

NumPy

SciPy

pandas

CasADi

Pyomo

Job description

Process Modelling Engineer

Series B MedTech (£20M+ Raised)

📍 Cambridge or Oxford (Hybrid)

About the Opportunity

We’re partnering with a fast-growing Series B MedTech developing next-generation bioprocessing technology that is reshaping how advanced therapies are designed, scaled, and manufactured.

With over £20M raised from top-tier investors, the company is now expanding its core R&D and digital engineering team.

As a Process Modelling Engineer, you’ll build the mechanistic and hybrid models that power their platform. Accelerating development, improving process robustness, and enabling data-driven decision making across the full bioprocess lifecycle.

About the Company

This Series B MedTech is unifying bioprocess engineering, computational modelling, and automation to tackle one of the biggest bottlenecks in biotech: how to scale complex biological systems reliably and efficiently.

Their platform integrates mechanistic simulations, ML-driven predictions, and automated workflows, giving bioprocess teams the tools to accelerate development, reduce variability, and shorten time to clinic.

With teams in Cambridge and Oxford, they’re building at the intersection of engineering, biology, and software and looking for exceptional people who want to shape the next wave of bioprocess innovation.

What You’ll Do

Modelling & Simulation

• Build mechanistic and hybrid models across upstream and downstream bioprocesses.
• Develop system-level flowsheet and unit operation models.
• Run sensitivity, identifiability, and optimisability studies to guide experimental design and scale-up.

Digital Workflow Development

• Create modular, intuitive modelling workflows used across the company’s platform.
• Work closely with software engineers to convert models into scalable, web-based tools.
• Build user-facing applications that make complex models accessible to non-experts.

Automation & Data Integration

• Automate model execution, validation, and reporting pipelines.
• Use AI and modern engineering practices to streamline and standardise codebases.
• Connect models to diverse datasets—structured (SQL, Databricks, Snowflake) and unstructured (e.g., Excel, lab exports).

What You’ll Bring

Education

• STEM MSc or PhD

Technical Skills

• Strong background in transport phenomena, systems modelling, and process engineering.
• Solid experience with Python and scientific / optimisation tools (NumPy, SciPy, pandas, CasADi, Pyomo).

Preferred Experience

• Experience in biotech, pharma, CDMO, or advanced therapy development.
• Exposure to process development, modelling-driven scale-up, or digitalisation initiatives.

Bonus Skills

• CFD knowledge (e.g., OpenFOAM).
• Familiarity with machine learning and data engineering workflows.
• Publications in modelling, simulation, systems engineering, or digital twins.

Soft Skills

• Analytical, curious, and detail-driven.
• Strong communicator who can explain complex ideas clearly.
• Collaborative mindset with a pragmatic, problem-solving approach.

If this sounds like you, you'll fit right in.

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