On-Demand Webinar

Modernizing the Clinical Data Flow: Operating Models, Governance & Architectures for Scalable Clinical Flow

About the webinar:

Clinical development leaders are under increasing pressure to deliver faster insights, adopt AI responsibly and manage growing data complexity, all while meeting strict regulatory, security and validation requirements. For large biopharma organizations, the challenge is how to modernize clinical data operations without fragmenting analytics, slowing trials or increasing risk.

In this webinar, you will hear how leading life sciences organizations are approaching clinical data modernization through a combination of strategy, scalable cloud infrastructure and governed analytics.

  • Thermo Fisher Scientific will share firsthand experience modernizing their clinical data landscape, strengthening governance and scaling analytics and AI to support faster, more confident decisions across trials and portfolios.
  •  Deloitte will share perspectives on operating models, governance and change management needed to move beyond legacy approaches. 
  • AWS will discuss how secure, cloud‑native architectures enable enterprise‑scale analytics and AI in regulated R&D environments.

Together with SAS, these capabilities support a modern, trusted clinical data flow from data ingestion through decision‑making.

Join us at this webinar and learn how AI agents are no longer experimental but are enabling near real-time insights across global trials.

 

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Speakers


Mayank Anand

Vice President, Clinical Research Group,
Thermo Fisher Scientific

Mayank is presently working as Vice President leading Integrated data services for global development operations at Thermo Fisher Scientific. In his role, he manages teams in 30-plus countries across global functions like biostatistics, standards, clinical programming, data management, centralized monitoring.

Prior to Thermo Fisher, he spent 5 years at GSK as Global Vice President for Data Strategy and Management. At GSK, he was also the data integrity risk owner for R&D. In the past, he has been a part of BMS, Syneos Health, TCS, Cognizant and Accenture in various global roles.

Mayank has also served as chair for the Global SCDM board. He has been keynote/guest speaker for multiple global conferences and is an author and co-author for many industry position papers.

By education, he has a Masters in Biotechnology and Bachelor in Biotechnology/Human Genetics. He also has an honors degree in Genetic Engineering.


Parag Limaye

Managing Director,
Deloitte Consulting

Parag is a leader in Deloitte’s Life Sciences practice, specializing in the R&D domain. His primary focus is on spearheading modernization programs and architecting innovative solutions to enhance data management capabilities across the industry.

He has led several large-scale transformational projects, developing platforms to extract value from historical clinical trial data, omics, RWD and other data modalities. Additionally, he oversees the development of Deloitte’s internal hybrid assets, which help clients accelerate their journey to derive value from existing data.


Daniel Hickmore

Senior Strategy Leader – Europe Health and Life Sciences Industry R&D,
AWS

Daniel Hickmore is a senior strategy leader at AWS specializing in the life sciences sector. Daniel has more than 20 years of experience, engaging with global pharmaceutical, biotechnology and R&D organizations, including AstraZeneca, Johnson & Johnson and Novo Nordisk.

Over the years, Daniel has developed a deep expertise in designing and executing strategic roadmaps for cloud transformation, AI/ML and generative AI within life sciences R&D.


Dr. Mark Lambrecht

Global Director, Health Care and Life Sciences,
SAS

Dr. Mark Lambrecht has more than 20 years of experience studying and implementing the potential, use and future of analytics, artificial intelligence and data engineering to advance patient outcomes. He is responsible for the global health care and life sciences market strategy of SAS. Mark likes to discuss how leaders in government, hospitals, payers and pharmaceutical manufacturers can take AI, real world evidence and digital healthcare from hype to reality, without oversimplifying clinical, financial and operational complexity.

Prior to joining SAS, Mark worked in the pharmaceutical industry and studied at the KU Leuven, Belgium and at Stanford University, USA. He holds a PhD and Master in Bioscience Genetic Engineering from the KU Leuven.

Mark Lambrecht is an expert in the application of AI, analytics and data engineering to the healthcare and life sciences sector, and particularly how technology can improve patient outcomes.


Harjinder Sidhu

Global Customer Success Manager - Life Sciences,
SAS

Harjinder Sidhu is a Global Customer Success leader at SAS, where he partners with pharmaceutical clients to drive strategic outcomes through advanced analytics and data-driven innovation. With a deep understanding of life sciences, Harjinder leads cross-functional teams to deliver measurable value across regulatory, clinical and commercial domains.

He plays a pivotal role in aligning SAS solutions with evolving industry needs, from accelerating clinical trials to enhancing real-world evidence generation. Harjinder is passionate about customer-centric transformation and building long-term partnerships that support patient-focused outcomes. At PHUSE, he brings insights from global engagements that highlight the importance of collaboration, operational excellence and delivering demonstrable value in a rapidly evolving regulatory and technological landscape.

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