Overview
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.
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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
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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
Program Committee
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Joan Buenconsejo, PhD, MPH • Head of Cardiovascular and Early Development Biostatistics
Bristol Myers Squibb, United States -
Pritibha Singh, MBA, MSc • Account Associate Director
Novartis Data42 AG, Switzerland -
Ruthie Davi, PhD, MS • Vice President, Data Science and Statistician
Medidata, a Dassault Systèmes Company, United States -
Nan Shao, PhD • Executive Vice President, Global Operations
Veristat, United States -
Steve Wilson, PhD • Senior Staff Fellow, OB, OTS, CDER
FDA, United States -
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 • ex-CDO
Bayer, United States -
Jerald Schindler, DrPH • Vice President, Biostatistics
Alkermes Pharmaceuticals, United States -
Rebecca Taha, PhD, MBA • Director Biostatistical Consulting
ICON Biotech Solutions, United States -
Chava Zibman, PhD • Mathematical Statistician, CDRH
FDA, United States -
Representative Invited • DIA, United States
