CMC Statistics Online Training
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    CMC Statistics

    24-26 March 2025, live online training

    Summary

    Multiple ICH and regulatory agency guidelines applicable to CMC activities explicitly cite the use of statistical methods to meet the ultimate goal of ongoing supply of safe and efficacious products that meet patient needs. However, benefits of these methods extend beyond only compliance. Statistical thinking and application provide substantial business and patient benefit as they provide robust evidence of product and process understanding, acceptable risk and adequate process performance. In this 3-day course, examples will be presented for the statistical methods commonly leveraged for CMC submissions to define sampling and acceptance criteria (multiple applications), inform the process definition and control strategy, manage patient risk, and assure ongoing product quality.

    • The most common and powerful statistical methods used across the CMC spectrum of activities
    • The relationship of statistical methods and Quality Risk Management (QRM)
    • Key reasons to use Design of Experiments
      (DOE) for process development
    • Understanding the components of a statistical
      sampling plan and statistical intervals
    • Leveraging science, patient needs and statistics to establish specifications
    • Robust methods for comparability and homogeneity
    • Connecting stability trends, shelf life and release specifications
    • Elements and nuances of an Ongoing Process Verification (OPV) Program
    • The powerful combination of your eyes, your knowledge, and a “good” graph

    Key Topics

    • Integrating data analytics to accelerate development, improve processes and reduce risk
    • Design of Experiments to enable Quality by Design and determine the optimal control strategy
    • Sampling and acceptance criteria: Establishing Specifications; Comparability; Homogeneity; Process Validation/PPQ
    • Stability monitoring and shelf life
    • Data visualization
    • Ensuring ongoing quality
    • Common pitfalls

    Who should attend?

    • Process Validation
    • Process Development
    • Manufacturing Science and Technology
    • Process Improvement
    • Quality Assurance
    • Data Scientist
    • CMC Statistician
    • Technology Transfer

    Our online training experience includes

    • Our client zone – a single source for all training materials as well as pre and post training communication
    • Live interactive format via the Zoom platform
    • Direct interaction with the trainer
    • Q&As, case studies, polls
    • Revisit recorded sessions for 7 days
    • Digital and LinkedIn certificates

    Trainers

    Tara Scherder has over 20 years’ experience in the pharmaceutical and biopharmaceutical industries as a statistician, engineer, and master black belt. Her passion is the powerful combination of science and statistics to increase knowledge, optimize both manufacturing and business processes, and reduce risk.

    CMC Statistics

    Download the full training agenda to reveal complete session details, training takeaways, case studies, daily schedule, special features and full trainer bio.

    Online Participation
    1 850  Price incl. VAT: 1 850 

    Price per delegate including:

    Online participation

    Online workbook & materials

    Recorded sessions for 7 days

    Certificate

    PC, microphone, camera, stable internet connection and the Zoom application.

    Yes, we will make every effort to ensure best possible interaction. You will see the slides, interact with the trainer and fellow participants. Questions and group exercises will be facilitated through the online meeting platform.

    Yes, you can transfer the registration to a colleague at any time.

    Yes, you may transfer your registration to a different event up to one month before the scheduled dates, provided the training fee has been paid in full.

    pharma learning leader

    Lydia Makori

    l.makori@symmetric.events
    +421 222 200 543

    Training Details
    • Start Date
      24. March 2025
      01:30 PM Vienna time
      12:30 PM London time
      08:30 AM New York time
      05:30 AM Los Angeles time
    • End Date
      26. March 2025