Pharmaceutical Data Science Conference 2027

Mapping the future of pharma: AI-enabled & data-driven insights, innovation, and impact

Gain a candid, 360-degree view of how data science and AI are reshaping pharmaceutical development — where the biggest wins are happening, where barriers remain, and where the industry is headed next.

📅 2027 dates — to be announced 📍 Venue — to be announced 🔁 In-person / Virtual (Hybrid)

Hosted by the New England Statistical Society

  • 3 days Conference experience
  • TODO + Attendees expected
  • Hybrid In-person + virtual sessions
  • Rapid demos + summit sessions Short courses + keynote + panel

Our 2027 partners

TODO Partner TODO Partner TODO Partner TODO Partner New England Statistical Society

Interested in partnering with PharmaDS? Explore partnership →

About the conference

Connect, learn, and lead in the age of data-driven pharma

Join us 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, data-driven methods are 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 — giving attendees actionable insight into how data science and AI are reshaping target identification, molecule design, clinical trial optimization, biomarker discovery, and safety signal detection.

2027 theme

TODO: 2027 conference theme to be provided

On the agenda

Topics we'll explore

Large Language Models Generative AI Digital Twins Synthetic Data Reinforcement Learning Federated Learning Multimodal Learning Causal Deep Learning Explainable AI AutoML AI-Driven Pharmacovigilance
For the whole pharma data community

Who should attend

PharmaDS is where the people building the data-driven, AI-enabled future of pharma come together — to learn, to show their work, and to grow their network and careers.

Statisticians & Data Scientists

Sharpen modern design, causal, and ML methods and see how peers put them into production.

AI / ML Engineers

Crash-course the engineering behind models that ship — pipelines, tooling, and deployment in a regulated world.

RWE & Clinical Researchers

Translate real-world and trial data into credible evidence with the latest analytics.

Regulatory & Safety

Track where AI-driven pharmacovigilance and evidence standards are heading, straight from peers and agencies.

Leaders & Decision-Makers

Get a candid 360-degree view of where the biggest wins are, where barriers remain, and where to invest next.

Early-Career & Academic Talent

Find mentors, real projects, and a community — our career-growth program is built for you.

What you'll walk away with
  • Actionable techniques you can apply on Monday morning
  • Hands-on labs, not just slides
  • A community that continues long after the conference
  • Direct access to mentors, collaborators, and hiring teams

Stay in the loop

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