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Placement Student – Digital Pharma Specialist

2 months ago

Darlington, Darlington, United Kingdom CPI Full time
About the Role

CPI is seeking a highly motivated and skilled Placement Student to join our established and growing digital pharma team. As a Placement Student, you will have the opportunity to work on exciting projects that leverage process modelling and simulation methods, advanced data analytics, and hybrid modelling techniques to develop pharmaceutical manufacturing process models.

Key Responsibilities
  • Develop predictive tools and models to support drug development/manufacturing platforms using a variety of modelling techniques, including discrete element modelling, process models, and statistical techniques.
  • Engage with the wider CPI R&D team, including data science and process modelling scientists, to support the design, execution, validation, and delivery of modelling projects.
  • Support colleagues in the training of project teams to ensure successful application of process models and prepare models for commercialisation.
  • Collaborate with process engineers, chemists, analysts, and specialists in instrument automation and control to apply and implement modelling tools into project workflows.
  • Work with data scientists to assist in the application and implementation of hybrid modelling components.
  • Present scientific results to a diverse audience through data analysis and visualisations.
Requirements
  • Working towards a degree in chemical, biochemical, process control, pharmaceutical engineering, biotechnology, physical sciences, or a related discipline with a primary focus on mechanistic modelling.
  • Good understanding of fundamental engineering/physical concepts, such as mass, momentum, and energy transport phenomenon, and mathematical ability to setup and solve linear, non-linear, and differential equations.
  • Working knowledge of numerical methods, computational modelling of chemical/physical processes, programming, and mathematics.
  • Working knowledge of computational fluid dynamics, discrete element modelling tools, flowsheet modelling, and open-source machine learning and AI technologies applied to process modelling.
  • Good organisational skills, ability to manage own workload effectively, and support with several projects simultaneously.
  • Ability to work effectively as part of cross-functional teams and embrace teamwork.
  • Strong written and verbal communication skills to impart ideas and results with colleagues with diverse backgrounds.
Desirable Skills
  • Technical experience in model predictive control software like PharmaMV.
  • Technical expertise in the use of Process Analytical Technology (PAT), including equipment, methods, models, and data structure requirements.
  • Experience with discrete element method (DEM) and computational fluid dynamics (CFD).
  • Experience with software packages such as ASPEN, EDEM, LIGGGHTS, XPS, CFDEM, ANSYS Fluent, OpenFOAM, STAR-CCM+, and other closely related packages.
  • Knowledge of data analysis and visualisation packages, such as Spotfire or Tableau, and strong statistical and machine learning skills.
  • Experience with developing dashboard tools using software systems like PowerBI.
  • Experience with Code Management Software like GitHub.
  • Knowledge of the software development workflow and commercialisation of modelling components like machine learning regression/classification models.
  • Knowledge of Design of Experiment approaches, AWS tools, database access, and query language.
About CPI

CPI offers a wide range of benefits to our employees, including:

  • Up to 36 days holiday, including bank holidays – Plus a holiday purchasing scheme.
  • Generous pension scheme.
  • Life assurance and accident insurance schemes.
  • Flexible working.
  • Learning and Development Opportunities.
  • Free parking.