Do you have experience of providing scientific computing and numerical analysis expertise, on a modelling and simulation project within a pharmaceutical environment?
This consulting opportunity is to support our client, a leading pharmaceutical organisation, in developing a reusable analytical framework that underpins multiple modelling and simulation capabilities. The role will deliver model-agnostic analytical components using established open-source libraries to enable consistent and scalable modelling practices.
The project needs a consultant who has:
- strong scientific computing and numerical analysis expertise
- experience developing reusable analytical components for modelling and simulation environments
- knowledge of parameter estimation, optimisation and uncertainty quantification
- ability to apply analytical methods to complex models treated as black-box systems
Key services:
The key services that you will be asked to provide are:
- develop reusable analytical capabilities for use across multiple modelling and simulation models
- implement numerical analysis functions using mature open-source libraries
- deliver capabilities supporting sensitivity analysis, Bayesian optimisation and model calibration
- develop model-informed experimentation and estimability capabilities
- ensure analytical components are reusable, maintainable and independent of individual models
Mandatory Requirements:
Successful consultants will be able to demonstrate:
- expertise in numerical methods and scientific computing
- experience of parameter estimation, optimisation and uncertainty quantification
- knowledge of calibration, identifiability and sensitivity analysis techniques
- experience developing software using established open-source scientific computing libraries
- ability to work effectively with complex models as black-box systems
- understanding of process modelling programming tools including Python, gPROMS and Aspen.
Optional Requirements:
It will also be advantageous if you have:
- a recent Master's or PhD in applied mathematics, scientific computing, modelling, simulation or a related discipline
- experience within the pharmaceutical sector
- familiarity with Bayesian optimisation and model-informed experimentation approaches
Working Pattern: Predominantly Remote with occasional travel to Manchester
Contract Type: Outside IR35
Start: August/September
Duration: 6 months +