Data · Digital · AI · Life Sciences
Two decades at the intersection of technology and life sciences — from enterprise data platforms to agentic AI systems that work in regulated environments.
"The enterprises that thrive in biopharma won't be defined by how many AI models they deploy. They'll be defined by how well they've connected their people, systems, and data into something coherent enough for AI to actually work on."
Saurav Ghosh leads Enterprise Digital Solutions — spanning Data, Digital, and AI — at Genmab, a global antibody company based in Princeton, NJ. His work covers the full biopharma value chain: from research and clinical development through regulatory affairs and commercial operations.
With roots in IT quality, enterprise architecture, and large-scale platform delivery, Saurav has spent his career at organisations including Infosys, Cognizant, and IQVIA before joining Genmab. Across these roles, he has led the integration of complex, multi-system technology environments in regulated settings — connecting hundreds of enterprise platforms into coherent digital operating layers.
His current focus is on practical AI adoption in life sciences: moving beyond proof-of-concept to enterprise-scale deployment of agentic systems, with particular attention to governance, GxP compliance, and organisational readiness. He also co-contributed to peer-reviewed research published in Cancer Research (AACR 2025) on AI-driven drug combination prediction.
View full profile on LinkedIn →
Claude API · MCP · AI adoption strategy · GxP governance
Clinical · Regulatory · Commercial · R&D systems
250+ systems · ML/NLP pipelines · cloud validation
Speaker · Judge · Published author · 5K+ LinkedIn community
Where technology strategy meets the complexity of regulated life sciences.
Translating the promise of agentic AI into practical, governed deployment across biopharma operations. The focus is on organisational readiness as much as technology — ensuring teams at every level can work effectively with AI systems.
Building the integrated digital infrastructure that makes enterprise AI possible — connecting systems across research, clinical, regulatory, and commercial functions into a coherent, AI-ready operating environment.
Shaping how life sciences organisations think about their technology portfolio — moving from fragmented SaaS sprawl toward platforms that create genuine competitive and operational advantage.
Navigating the intersection of digital transformation and regulatory compliance — developing validation frameworks and quality systems that enable innovation without compromising on FDA, EMA, or ICH standards.
Conferences, awards, and peer forums where digital leadership in life sciences is shaped.
Speaking on the integration of AI into clinical trial design — including automated evidence synthesis, wearables, telehealth data, and AI-accelerated target product profile development.
Serving as a judge for the Fierce Pharma Marketing Awards, evaluating the most innovative and impactful campaigns across the pharmaceutical industry.
Presented on adapting to the changing validation landscape in cloud environments — drawing on industry survey data to explore how pharma organisations navigate CSV in modern infrastructure.
Recognised with the Vision Award, which "celebrates leaders who are shaping strategy inside their organisations while influencing the broader data and AI ecosystem through real-world execution." Honoured for strategic vision and execution excellence across R&D, regulatory, commercial, and supply chain at Genmab.
Serving on the judging committee for the Stevie Awards, evaluating digital innovation across websites, applications, and video — bringing a life sciences technology perspective to one of business's most recognised awards programmes.
Speaking at Veeva's flagship R&D and Quality Summit — bringing a practitioner's perspective on digital transformation and AI adoption across regulated life sciences environments.
Active across life sciences technology forums and industry events. Follow on LinkedIn for upcoming engagements.
Perspectives on AI, digital transformation, and what's actually changing in biopharma.
Co-authored with the Genmab data sciences team. An LLM and knowledge graph framework integrating 50,000+ in vitro drug pair assay results — achieving an F1 score of 0.80 in predicting synergistic oncology combinations with mechanistic explainability. Published in Cancer Research.
Read in Cancer Research →Why so many AI agent deployments stall before they scale — and what the gap between leadership ambition and ground-level proficiency actually looks like in practice.
Read on LinkedIn →Model Context Protocol as an infrastructure standard — and why it matters more for regulated industries than most technology discussions acknowledge.
Read on LinkedIn →Insights published regularly on LinkedIn.
Follow on LinkedIn →Saurav Ghosh serves as Vice President of Enterprise Digital Solutions (Data, Digital and AI) at Genmab, a global antibody company. His remit covers enterprise-wide digital platforms, data infrastructure, and AI adoption across the full biopharma value chain — from research and clinical development through regulatory affairs and commercial operations.
Saurav Ghosh has over two decades of experience in technology and digital transformation across the life sciences industry. He has held roles at Infosys, Cognizant, and IQVIA before his current position at Genmab. He is educated at Stanford University and is based in Princeton, NJ.
A concept Saurav Ghosh writes about — the gap that emerges when organisations move quickly to deploy AI agents at scale but underinvest in the organisational readiness required to use them effectively. The bottleneck is typically people and process, not technology.
Saurav Ghosh publishes thought leadership on LinkedIn, where he has built a community of 5,000+ professionals across biopharma, digital health, and enterprise AI. His research has also been published in Cancer Research (AACR 2025).
Saurav Ghosh speaks at industry conferences and engages in advisory conversations on enterprise AI strategy, digital transformation in regulated environments, and AI governance in life sciences. Enquiries can be made via the contact form below or through LinkedIn.
Saurav Ghosh works with Claude API (Anthropic), Model Context Protocol (MCP), and enterprise agentic frameworks across clinical, regulatory, and commercial functions. His experience spans GxP-compliant AI deployment, cloud validation, and large-scale data integration in biotech environments.
Whether it's a conference invitation, an advisory conversation, a media enquiry, or simply exchanging perspectives on AI in life sciences — feel free to reach out.
Connect on LinkedIn