Amrik Mahal | Chief Operating Officer for Life Sciences
Amino Data

Amrik Mahal, Chief Operating Officer for Life Sciences, Amino Data

Dr Amrik Mahal BEM is the Chief Operating Officer for Life Sciences at Amino Data and a senior leader at the intersection of life sciences, technology and pharmaceutical R&D.
Previously, he was AstraZeneca’s Global Head of Information Technology for Research and Head of IT for Sweden, shaping technology strategy and leading the delivery of projects, services and capabilities for R&D.
He was awarded the British Empire Medal (BEM) in the King’s Honours List for services to the UK’s COVID-19 response and to science.
Drawing on experience across Glaxo Wellcome, Oxford Asymmetry, Evotec and academia, he builds diverse, high-performing teams, delivers strategic initiatives and scales innovation to address unmet patient needs.
Amrik is a respected international speaker and chaired the PRISME Board, the pharmaceutical industry’s R&D IT leadership group. He also served on the board of the Pistoia Alliance, supporting collaboration and innovation across the biopharmaceutical ecosystem.

Appearances:



BioTechX EU Day 2 @ 09:50

AI at Scale: Charting the Future of Pharmaceutical Innovation

Abstract: The promise of AI to revolutionize drug discovery and development is undeniable. However, moving from isolated AI projects to enterprise-wide, value-driving capabilities presents a formidable challenge for even the most innovative Pharma organizations. The true test lies not in the algorithm, but in the ability to scale.

This panel brings together senior industry leaders to share their strategic perspectives on this critical journey. We will move beyond the hype to address the core operational, technical, and cultural questions that define AI readiness. Our discussion will explore actionable strategies for:

  • Crafting a cohesive vision for AI that balances ambitious moonshots with tangible, near-term value.
  • Designing effective operating models and data infrastructure to support AI at an industrial scale.
  • Cultivating a data-literate culture and empowering the workforce to trust and adopt new AI-driven tools.
  • Establishing robust governance and ethical guidelines that foster responsible innovation.  
last published: 14/Sep/26 09:16 GMT

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