Embedding Scientific Expertise at the Core of Life Sciences IT Service Delivery

As pharma enterprises modernize data architectures, automate workflows, and scale AI across the value chain, scientific expertise is becoming essential to realize meaningful outcomes from digital initiatives. Without scientific grounding, digital systems risk producing insights that are technically accurate but scientifically irrelevant, undermining adoption, regulatory compliance, and overall enterprise impact, ultimately leading to poor return on digital investments.

This report draws on insights from 30 senior pharma executives to examine the growing importance of scientific expertise in IT service delivery across the life sciences value chain. It explores how the absence of scientific context within enterprise systems and workflows creates enterprise-wide risks – from compliance exposure and loss of stakeholder trust to failed AI pilots. The report highlights specific areas across drug discovery, clinical development, and manufacturing, where embedding scientific logic into digital design delivers measurable value. Additionally, the report also provides a four-step enterprise blueprint to help organizations operationalize science-first IT service delivery.