Computational Designer, Innovation
2 weeks ago
Process Modelling Engineer Series B MedTech (£20M+ Raised)
#Cambridge or Oxford (Hybrid)
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.
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.
Build mechanistic and hybrid models across upstream and downstream bioprocesses.
Develop system-level flowsheet and unit operation models.
Digital Workflow Development
Work closely with software engineers to convert models into scalable, web-based tools.
Automation & Data Integration
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).
STEM MSc or PhD
Solid experience with Python and scientific/optimisation tools (NumPy, SciPy, pandas, CasADi, Pyomo).
Bonus Skills
Familiarity with machine learning and data engineering workflows.
Publications in modelling, simulation, systems engineering, or digital twins.
To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.
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