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Pharma Data UK

08 - 09 September 2022 | London, UK

Showcasing success in FAIR data implementation, data analytics, AI/ML technologies, RWE generation, scaling up data storage & infrastructure, leveraging multiomic datasets and data management strategies to help elevate your research

Two days of cutting-edge presentations and knowledge-sharing, including over 40 industry insights, sponsored presentations, think tank panel & roundtable discussions and complimentary pre-event webinars allowing you to share experiences and collaborate with peers to develop clear strategies to optimise data management.

Early Booking Discount

Academic Delegates can enjoy a reduced rate of £550+VAT

Industry Delegates can enjoy a reduced rate of £799+VAT

Academic & Industry Delegates can enjoy Buy One Get One Free

Limited Offer Available Until April 2020

19th Annual Pharma Data Congress

Benefits to Attending

Meet with the key innovators in pharma and healthcare to discuss innovations within data science and data management to develop strategies to elevate your research. Attendees include Vice President, Amgen; Vice President, Novartis; Global Head, GSK
Discover collaborative solutions in data management, harmonization, integration, and standardization – Explore progress and outcomes in FAIRification processes and standardisation techniques for different data types
Discuss the latest innovations in AI/ML approaches and measure success stories of adopting AI and machine learning technologies, as well as strategies to optimise interoperability of results
Gain insights into the latest advances in managing data workflows – Considerations into optimising infrastructure and data management strategies as well exploring data sharing initiatives
Develop a robust informatics strategy explore the latest in mapping and analysing multi-omics data, as well as integration with AI initiatives

As part of our PharmaTec series, the event is co-located with our 4th Annual SmartLabs & Laboratory Informatics Congress, which focuses on achieving digital excellence in the lab through automation, robotics and advanced IT tools & technologies

Agenda at a Glance

Day One

Track 1: Moving From Big Data to Smart Data & Data FAIRification

Collecting & adopting smart data & datasets
Outcomes of data FAIRification processes & case studies on the adoption of FAIR principles
Data standardization and harmonization
Data management strategies for RWE/RWD

Leveraging data and digital technologies to optimize RWE generation
Synthetic and Real-Time Data
Regulatory Considerations and strategy

Track 2: Data Analytics, & AI/ML Approaches

Advanced analytics platforms
Advanced chemoinformatic tools & techniques
Challenges around interpretability of machine learning results
Measuring the success of AI/ML technologies:

- Predictive biology
- Applications to development
- Approaches to adopting these technologies

Day Two

Track 1: Data & Metadata Management, Data Storage & Supporting Infrastructure

Managing workflows with data and metadata
Scaling up data infrastructure
Navigating legacy systems
Data compression & storage platforms
Cloud computing

Data sharing networks – challenges & opportunities
Data Mesh

Track 2: Multi-Omics Data Management

Integrating genomics with AI initiatives
Analysing and mapping omics data networks/platforms
Omic data processing and applications
Analysis of large-scale omics data
Linking omics data to population data, clinical data, personalized medicine

Applying bioinformatic analyses

This event is co-located with our 4th Annual SmartLabs Congress. Attendees will have full access to both events.

Key Speakers

The 2022 event again brings together a panel of prominent leaders and scientists, sharing new case studies, innovative data and industry outlook.

Below were some of the confirmed speakers of 2021’s Pharma Data Congress

Kim Woodward

AstraZeneca

Ana Leite

Benevolent AI

Marcia Boakye

Roche

Vijay Reddi

Roche

Peter Henstock

Pfizer

Event Features

Networking & knowledge-sharing is at the heart of what we do. Alongside the innovative programme, attendees can engage in a variety of event features and make the most of participation in a range of on-site experiences.

Roundtables and Panel Discussions

Discussions on key industry growth areas within pharmaceutical IT, data science, and AI & automation.

Networking Drinks

Relax after a busy first day at the event with access to the vibrant drinks reception

Supported Digitally

Can't attend in-person? Our fully featured online platform runs alongside the event with access to all digital presentations and content from the in-person event

Sponsorship

A range of customisable opportunities for lead generation, brand building and global business deals. Whether you’re looking to build business, product launch or increase visibility, we provide a variety of highly effective options to suit budget and requirement.

Download Brochure

“Good speakers, the right number of parallel sessions guaranteed interesting talks throughout the day. Nice location and also the lunch was delicious and the drinks event very nice. Staff very friendly and visible. Very professional event."

"Covered areas (such as lab automation) that have virtually no other specialist conference coverage in the U.K"

"Perfect organisation with highly professional speakers and interesting talks"

"High level presentations with good attendees and a nice venue"

"The 8+ hours of networking time allowed optimal time for discussions linked with the pre-organised meetings."

Pharma Data UK: In-Person

Early Booking Discount