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About Event


• AI/ML adoption
• CDISC, SDTM, ADaM integration with modern ML workflows
• Statistical programming and machine learning
• Integrating advanced analytics into day to day workflows
• Reproducibility in ML models
• What skills will define the next gen statistical programmer?

Key Takeaways for Participants:
• Gain a clear understanding of the strengths and limitations of various AI tools tailored for pharma analytics.
• Learn to apply AI in analysis of data and various programming steps and reporting.
• Understand best practices for using AI responsibly, with a focus on protecting patient-level and confidential data.
• Walk away with practical templates, curated prompt examples and tool comparisons that can be immediately applied to enhance efficiency and innovation in daily work.



Intended Audience: This workshop is designed for students and industry professionals in the fields of biostatistics, statistical programming and data science.

Event Date

24th June 2026, 10:00 AM to 5:00 PM

Event Location

Virtual

Facilitators

Agenda

-- Coming Soon --

# Time Brief Description of Topic Presenters
Attendees are advised to join webinar at 10:00 Am
1 10:00 – 10:10 Introduction of IASCT and Speakers, Setting expectations for the day IASCT EC member
2 10:10 – 10:55 Decoding Technology
  • ● Introduction to Large Language Models (LLMs) like ChatGPT, Gemini, Claude and Copilot.
  • ● Explore how these tools are reshaping pharma R&D and clinical development.
  • ● Understand Prompt Engineering & ChatGPT Modes, learn how to craft effective prompts
 Ashwin Venkat (GSK)
4 10:55 – 11:10 Q&A ALL
5 11:10 – 11:15 Break ALL
6 11:15 – 12:15 Use Case Deep Dive I: Biometrics Domain integration
  • ● Practical applications of AI in CDISC, SDTM, ADaM integration with modern ML workflows
 Alka Tiwari (Sanofi)
7 12:15 – 12:30 Q&A ALL
8 12:30 – 01:30 Lunch Break ALL
9 01:30 – 02:45 Use Case Deep Dive II: Statistical Programming and Machine Learning
  • ● Explore AI-assisted SAS/R/Python code generation, QC automation, TLF creation and validation workflows.
 Ashwin Venkat (GSK)
10 02:45 – 03:00 Q&A ALL
11 03:00 – 03:05 Break ALL
12 03:05 – 04:20 From Syntax to Strategy: Redefining the DNA of the modern clinical data professionals
  • ● How AI, automation, and clinical innovation are reshaping the identity of data scientists
  • ● Highlighting the evolving roles, skills, mindsets, and capabilities needs to build future ready talent across statistical programming and clinical data sciences
 Pratibha Jalui (Cytel)
13 04:20 – 04:35 Q&A ALL
14 04:35 – 05:00 Workshop summary and concluding remarks IASCT EC member

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The workshop provides an opportunity to receive feedback on your scientific communication, with an optional pre-requisite to submit an abstract.


Note: While submitting abstract in word format please add below information. The abstract submission deadline is February 7, 2024.

1.Name

2.Organisation/ Institute

3.Email

4.150-words (max) abstract


Please contact Jagannatha P.S or Anurag Srivastav or pooja shinde for any queries related to registration.

By registering for this conference, you agree to become a member of IASCT and receive emails from IASCT on your registered email ID. If you don’t want to accept membership, please check the box above. Please note that this membership has no additional cost involved.

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