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Nov 14, 2022 7:00 AM - Nov 15, 2022 7:00 PM

Data Science Conference

Bridging Data Science and Clinical Development!


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
    • View Agenda

  • 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
    • Register Now

  • 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
    • Register Now


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Continuing Education


Highlights & Features

Program Committee

  • Joan  Buenconsejo, PhD, MPH
    Joan Buenconsejo, PhD, MPH Head of Cardiovascular and Neuroscience Biostatistics
    Bristol Myers Squibb, United States
  • Pritibha  Singh, MBA, MSc
    Pritibha Singh, MBA, MSc Senior Manager, Corporate Affairs Analytics & Insights
    Novartis AG, Switzerland
  • Ruthie  Davi, PhD, MS
    Ruthie Davi, PhD, MS Vice President, Data Science and Statistician
    Medidata, a Dassault Systèmes Company, United States
  • Nan  Shao, PhD
    Nan Shao, PhD Executive Vice President, Global Operations
    Veristat, United States
  • Steve  Wilson, PhD
    Steve Wilson, PhD Senior Staff Fellow, OB, OTS, CDER
    FDA, United States
  • Jingjing  Ye, PhD
    Jingjing Ye, PhD Executive Director, Global Head of Data Science & Operational Excellence (DSOE)
    Global Statistics and Data Science (GSDS), BeiGene USA, United States
  • Jessica  Federer, MPH
    Jessica Federer, MPH ex-CDO
    Bayer AG, United States
  • Jerald  Schindler, DrPH
    Jerald Schindler, DrPH Chief Executive Officer
    Strategic Statistics, United States
  • Rebecca  Taha, PhD, MBA
    Rebecca Taha, PhD, MBA Director Biostatistical Consulting
    ICON Biotech Solutions, United States
  • Chava  Zibman, PhD
    Chava Zibman, PhD Mathematical Statistician, CDRH
    FDA, United States
  • Representative Invited
    Representative Invited DIA, United States

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