Conference | Novmber 14-15

The DIA’s Data Science Conference is a neutral forum-style event gathers data-minded professionals from regulatory agencies, pharmaceutical, device and biotechnology industries, and data organizations.

Join us to engage, exchange, and problem-solve application of data science in drug development and regulatory integration.

Registered attendees will receive access to all session recordings for 2 full months post-conference! This allows you to remain flexible with your schedule and not worry if you need to miss a session. Have a conflict with the dates of the conference? Register anyway and you will receive access to the recordings.

• Event Goals and Offerings

  • Deep dive into stakeholder perspectives with experts in regulatory science
  • Showcase pertinent case examples of data application in clinical development
  • Examine role of data scientists in the R&D lifecycle
  • Discover impacts of Artificial Intelligence and Machine Learning on drug development

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• Why You Can’t Miss It

  • Interactive workshops featuring collaborative problem-solving discussion
  • Opportunities to join DIA Publications efforts post-conference
  • Join stakeholders to identify and solve trending challenges in data sciences R&D
  • Explore new ideas, processes, needs, and applications in breakout discussion rooms

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• Learning Objectives

  At the end of this conference participants should be able to:

  • Discuss areas of opportunity and concern as AI and ML continue to increase in the device and pharmaceutical industry
  • Identify the various skill sets needed for data scientists and discuss the difference in the roles of data scientists and statisticians
  • Discuss common challenges and pitfalls with data science collaborations and create the framework for data science collaborations within organizations
  • Identify traditional and non-traditional sources of data and methods to identify potential biomarkers
  • Identify the industry trend of digital health technology and discuss the use cases of digital health technologies in clinical research
  • Discuss challenges in adopting digital health technologies and exchange ideas for further advancement in the clinical trial domain
  
  
  

• Meeting Designed For

  Join all-stage professionals from every corner of the vast data science industry and related fields:

  • Academia
  • Business Development
  • Clinical Trials Design and Development
  • Clinical Monitoring and Oversight
  • Clinical Research
  • Clinical Operations
  • Clinical Data Management
  • Data and Biostatistical Sciences
  • Ethics, IRB
  • Health Economics and Outcomes Research
  • Health Technology
  • Legal and Compliance
  • Medical Devices
  • Medical Affairs
  • Medical Communications
  • Regulatory Affairs, Regulatory Specialists
  • Patient Engagement
  • Patient Advocacy, Partnerships
  • Patient Recruitment and Retention
  • Patient Services
  • Pricing, Reimbursement Decision Makers
  • Quality Management
  • Research and Development

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