Process Modeller

Insight Global has partnered with a leader in the Life Sciences industry to hire a Contingent Worker Process Modeller to join the Medicine Development and Supply team within the company's R&D Division. The successful candidate will work cross-modality, be integrated directly on projects, deliver advanced modelling approaches to accelerate development, increase fundamental understanding, improve risk assessment and deliver more robust processes, products and regulatory filings. This includes the application of mechanistic, data driven and hybrid modelling in process design, control strategy identification and advanced process monitoring and control for small and large molecule Drug Substance and Drug Product processes. Essentially, this individual will be translating chemistry equations into code, keeping the code well maintained, and delivering the associated documentation. The end users of the platform are chemists, engineers, formulators, and these users will ask for enhancements which the process modeller must review, prioritise, and execute.

The ideal candidate must have:

• An MSc or PhD in Chemical Engineering / Physical Chemistry or equivalent experience with an emphasis on development and implementation of mechanistic mathematical models.

• Ability to translate mathematical models into computer programs using Matlab, Python, gPROMS or similar software tools.

o Within Matlab, the primary tool used is App Designer. Experience in App Designer is imperative

• An understanding of statistical science and related software tools that enable experimental design and interpretation of models.

• Experience with engineering software such as DynoChem, Aspen or gPROMS.

• Confident communicator who works well in a team with multiple stakeholders

It would be a plus if the applicant has the following:

• Previous pharmaceutical industry experience (specifically drug manufacturing)

• Publications in peer reviewed journals

• Good lab skills including the ability to independently design and execute experimental plans and perform any related analytical testing

• Understands and complies with company and government Environmental, Safety and Health requirements.

• Understanding and willingness to comply with Good Manufacturing Practice (GMP) requirements including; data integrity and model validation / maintenance