The Data Unleashed hub at BioTechX is the dedicated home for the architects of the modern pharma pipeline. While others discuss the what, we focus on the how: building the robust, scalable, and FAIR data foundations required to turn massive biological datasets into actionable therapeutic insights.
What we think you'll be interested in...
BioTechX is proud to announce its accreditation by The CPD Group , a globally recognised body for quality professional development. This milestone reflects our commitment to delivering educational experiences that foster professional growth and enhance expertise across the drug safety, pharmacovigilance, and risk management community.
This accreditation underscores our dedication to providing valuable learning opportunities in drug safety and pharmacovigilance. Attendees can leverage this recognition to support their career progression and demonstrate their commitment to continuous professional improvement.
The Interactive Poster Session at BioTechX is a dynamic showcase of the latest research, clinical innovation, and emerging developments in biotech. Open to all attendees, this session offers an exciting opportunity to explore cutting-edge work from leading clinicians, researchers, and industry experts in a collaborative, engaging environment.
Why This Matters for Data & Tech Professionals
While the Poster Session is open to all attendees, it offers particular value for Data & Tech professionals by providing practical insights that are directly relevant to data and innovation. Data & Tech professionals will benefit from real-world learning shared by frontline delivery teams who are implementing advanced therapies, and they will gain exposure to emerging techniques, trial outcomes, and new research methods behind the breakthroughs. This session also provides a unique opportunity to see how advanced therapies are translating into real-world practice, helping clinicians stay at the forefront of innovation and patient treatment pathways.
Value for Data & Tech Professionals
Data & Tech professionals attending the Poster Session will gain clinically relevant insights that support professional development, with exposure to innovations across the therapy pathway from research methods to patient delivery. They will also have the opportunity to benchmark practice against leading institutions and access research and findings before wider publication.
Networking & Collaboration
The Poster Session is not just about learning—it's also about connecting. You’ll be able to meet researchers, discuss research directly, and build relationships with senior clinical leaders and industry specialists, creating valuable collaboration and referral opportunities.
Submit a Poster or Just Attend
Whether you want to present your work or simply engage with leading research, the Poster Session welcomes you. You can submit a poster to showcase your findings, clinical case studies, or innovation projects, or attend as a delegate to learn, discuss, and connect with experts. The session also provides the opportunity to contribute to the conversation through questions, insights, and collaboration.
Understand how organisations are embedding AI across R&D and manufacturing, tackling change management, adoption challenges, and scaling innovation effectively.
Learn how FAIR principles and integrated data strategies are enabling interoperability, improving data quality, and unlocking more reliable AI-driven insights.
Explore the infrastructure powering modern pharma, from scalable data platforms to architectures designed to support advanced analytics and AI deployment.
Master the implementation of FAIR data principles and robust cloud infrastructures. Engage with technical case studies on breaking down departmental silos to create a unified, machine-ready data environment that accelerates the entire R&D lifecycle.
Bridge the gap between raw multi-omic datasets and meaningful therapeutic insights. Collaborate with peers to solve the challenges of data harmonization, high-performance computing (HPC), and the integration of AI-driven analytics into the discovery pipeline.