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Pharmaceutical Data Science (PharmaDS)
Conference 2026
Mapping the Future of Pharma: AI-Enabled and Data-Driven Insights, Innovation, and Impact
Gain a candid, 360° view of how data science and AI in
pharmaceutical development — where the biggest wins are
happening, where barriers remain, and where the industry is
headed next.
March 23 to March 25, 2026 (In-person/Virtual)
Hosted by New
England Statistical Society
Conference Information
Join us at this year’s conference as we explore the expanding role of AI and data science across the pharmaceutical industry! From modern statistical design and real-world evidence analytics to machine learning, generative AI, and automation, the integration of data-driven methods is redefining how medicines are discovered, developed, and delivered.
This year’s program emphasizes real-world learning with practical applications, hands-on short courses, and industry-leading discussions of emerging trends. Attendees will gain actionable insights into how data science techniques and AI are reshaping target identification, molecule design, clinical trial optimization, biomarker discovery, and safety signal detection —accelerating innovation while transforming the future of healthcare.
Don’t miss this opportunity to connect, learn and lead in the age of data-driven and AI-enabled pharma!
Key Dates
| Conference registration opens | November 15, 2025 |
| Early registration closes | February 14, 2026 |
| In-person Registration closes | March 13, 2026 |
| Virtual Registration closes | March 24, 2026 |
| Hotel discount reservation closes | TBD |
Topics
Large Language Model
Generative AI
Digital Twins
Synthetic Data
Reinforcement
Learning
Federated Learning
Multimodal Learning
Causal Deep
Learning
Explainable AI
AutoML
AI-Driven
Pharmacovigilance
Hands-on Sessions
Chatbot AI Agent Creation
AI-Enabled Trial
Design
Pytorch for Deep Learning
Python for Data Science
LLM-in-the-Loop PII
Redaction Framework