Quality Control engineer

Important information : If you choose the accessible version of a 3D or virtual reality activity, please contact the support team to manually unlock the rest of the training.This module explores performance and compliance levers in bioproduction through Lean approaches, controlled maintenance, and Industry 4.0 tools, with a constant focus on quality and data integrity.It is based on the principles of the Lean House and draws on tools such as the 5S method, the PDCA cycle, Kaizen, Kanban, and Six Sigma approaches.Digital modalities : Activity 1: eLearning / Activity 2 : Serious Game 3D / Activity 3 : eLearningTarget audience :Newcomers (technicians, engineers, researchers, and managers) preparing to take up a position in bioproduction or wishing to update their knowledgeStudents and teachers seeking to discover the pharmaceutical industrial environment and the challenges associated with biopharmaceutical production.Support functions (maintenance, regulatory, Quality, HSE, supply chain, Lean, PMO, data) wishing to better understand the fundamentals of bioproduction professionsEmployees in commercial functions, market access, management or partners (suppliers, subcontractors, consultants, investors) not familiar with bioproduction but wishing to better understand the ecosystem and challenges of bioproductionEvaluation procedure :A short evaluation at the end of the module confirming what you have learnt and enabling you to move to the next one (no limit of attempts, 80% of correct answers required).Trainees enrolled in the whole curriculum have the possibility to assess and set their new knowledges and skills via an anchoring quiz between modules

This module covers sampling processes in production areas, quality control laboratory operations, and the analysis of unexpected results and deviations. It introduces best practices to ensure sample quality, laboratory testing methods, and approaches for managing deviations and implementing effective corrective and preventive actions (CAPA).It is based on the Contamination Control Strategy (CCS), microbiological controls associated with key stages of the manufacturing process (sterility tests, bioburden, endotoxins), simulated aseptic filling procedures (Media Fill Test), environmental monitoring plans (surface, air, personnel), identity and purity tests of bacterial strains, as well as examples of corrective actions in response to contaminant detection.Digital modalities: Activity 1:  eLearning / Activity 2: eLearning  / Activity 3:  Serious Game 2DTarget audience : Employees integrating or working in interface with a bioproduction or Quality Control (QC) unit who wishto acquire the fundamentals of QC methods and challenges applied to biopharmaceuticals.Students in life sciences, analysis and control, pharmacy, or chemistry, as well as individuals from academia seeking to understand the industrial environment of biopharmaceutical QC.Employees already specialized (e.g., microbiology, viral safety, physicochemical or immunological testing) who wish to broaden their skills into other areas of QC.Partners (suppliers, service providers, subcontractors) operating in bioproduction or QC.Evaluation procedures : Evaluation at the end of each module to be able to access the next module ( 80% of correct answers required)

Important information: If you choose the accessible version of a 3D or virtual reality activity, please contact the support team to manually unlock the rest of the training.This module covers the physicochemical and immunological analyses necessary to ensure the quality of therapeutic proteins. It introduces the sources of impurities, their potential impacts on products and patients, and the methods of detecting and quantifying impurities. Practical case studies will provide opportunities to apply the knowledge acquired.It is based on the five fundamental analytical pillars applied to therapeutic proteins (identity, purity, impurities, activity, quantity), the methods associated with each pillar (HP-SEC, cIEF, etc.), techniques for detecting and quantifying impurities at different stages of production (mass spectrometry, liquid chromatography, etc.), as well as best practices for controlling raw materials and starting materials, in connection with contamination prevention and traceability in a GMP environment.Digital modalities: Activity 1:  eLearning / Activity 2: eLearning  / Activity 3:  Virtual RealityTarget audience : Employees integrating or working in interface with a bioproduction or Quality Control (QC) unit who wishto acquire the fundamentals of QC methods and challenges applied to biopharmaceuticals.Students in life sciences, analysis and control, pharmacy, or chemistry, as well as individuals from academia seeking to understand the industrial environment of biopharmaceutical QC.Employees already specialized (e.g., microbiology, viral safety, physicochemical or immunological testing) who wish to broaden their skills into other areas of QC.Partners (suppliers, service providers, subcontractors) operating in bioproduction or QC.Evaluation procedures : Evaluation at the end of each module to be able to access the next module ( 80% of correct answers required)

This module covers the physicochemical tests required for quality control of therapeutic proteins and cell therapies. It also addresses the management and storage of reference and retention samples, thereby ensuring product safety and efficacy. It helps learners develop practical skills to ensure compliance with regulatory standards.It is based on analytical techniques commonly used for the quality control of therapeutic proteins (HP-SEC, cIEF, CE-SDS), the analysis of critical parameters in cell therapy using flow cytometry, safety and efficacy tests applied to the drug substance (ELISA, Q-PCR, NGS), as well as best practices for the management and storage of reference samples.Digital modalities: Activity 1:  eLearning / Activity 2: eLearning  / Activity 3:  Serious Game 2DTarget audience : Employees integrating or working in interface with a bioproduction or Quality Control (QC) unit who wishto acquire the fundamentals of QC methods and challenges applied to biopharmaceuticals.Students in life sciences, analysis and control, pharmacy, or chemistry, as well as individuals from academia seeking to understand the industrial environment of biopharmaceutical QC.Employees already specialized (e.g., microbiology, viral safety, physicochemical or immunological testing) who wish to broaden their skills into other areas of QC.Partners (suppliers, service providers, subcontractors) operating in bioproduction or QC.Evaluation procedures : Evaluation at the end of each module to be able to access the next module ( 80% of correct answers required)

This module covers analytical method validation and data integrity in Quality Control. It introduces how to validate methods, manage deviations, and apply data integrity principles to ensure the quality of bioproducts.It is based on the stages of the validation lifecycle (development, validation, routine use, maintenance), performance criteria (precision, accuracy, specificity, linearity, etc.), documentation tools (validation protocol), deviation management methods (5M, impact analysis), as well as ALCOA+ principles to ensure data integrity in a GxP environment.Digital modalities: Activity 1:  eLearning / Activity 2: eLearning  / Activity 3:  eLearningTarget audience : Employees integrating or working in interface with a bioproduction or Quality Control (QC) unit who wishto acquire the fundamentals of QC methods and challenges applied to biopharmaceuticals.Students in life sciences, analysis and control, pharmacy, or chemistry, as well as individuals from academia seeking to understand the industrial environment of biopharmaceutical QC.Employees already specialized (e.g., microbiology, viral safety, physicochemical or immunological testing) who wish to broaden their skills into other areas of QC.Partners (suppliers, service providers, subcontractors) operating in bioproduction or QC.Evaluation procedures : Evaluation at the end of each module to be able to access the next module ( 80% of correct answers required)