The R&D Operations Action Day

What would your labs look like if they were designed around how scientists actually work rather than how processes are supposed to work on paper? How much time, frustration, and inefficiency could be eliminated if you could see your environment through the eyes of its users?

Join this workshop to: 

• Improve scientist experience through operational workflow optimization
• Balance lean inventory strategy with R&D flexibility and project uncertainty
• Translate real-world bioprocess development pain points into actionable lab  operations improvements
• Build adaptive operational systems that support evolving R&D timelines and  resource demands
• Connect scientific workflows, supply planning, and operational decision-making in bioprocess environments

Most lab organizations are sitting on more data than they know what to do with: service  histories, utilization metrics, asset records, sensor feeds, spend data. But raw data is not insight. This interactive workshop challenges attendees to confront an honest question: how well do you understand what your lab data is telling you? 

Drawing on real-world use cases from across a portfolio of global biopharma accounts, presenters will guide participants through the journey from fragmented, inconsistent data to actionable intelligence and the organizational maturity required to get there. Attendees will work through real examples, benchmark their own programs against common patterns, and leave with a practical framework for advancing data-driven decision-making in their lab environment.

This is not a product demo. It is a working session designed for lab operations, data, and program leaders who want to close the gap between the data they collect and the decisions it should be driving.

Key Takeaways:

• Understand the most common ways lab data gets misread, ignored, or misused and how to fix it
• See the measurable value of consolidating service, utilization, asset, and spend data into a unified view
• Learn how to assess your organization’s data maturity and identify the highest leverage next step
• Benchmark your program against real-world patterns from across the industry
• Walk away with a practical framework for turning data signals into operational decisions

If a major disruption hits tomorrow, a supply chain collapses, a regulatory shock, or an extreme weather event, how confident are you that your lab or site could keep operating? Would your teams know the early warning signs, the decision triggers, and the actions to take?

• Navigate through 3-4 realistic disruption scenarios to expose operational weaknesses across assets, staffing, digital systems, and vendors
• Evaluate the impact of disruptions on critical workflows and identify where resilience gaps pose the highest risk
• Craft a Resilience Playbook including early-warning indicators, decision triggers, response actions, and communication pathways

What would your organization achieve if every function supporting the lab, operations, facilities, EHS, asset management, procurement, digital, truly operated as one cohesive system? How much friction could be removed if roles, responsibilities, and decision rights were crystal clear?

• Visualize how lab ops, facilities, EHS, asset management, procurement, and digital teams rely on each other
• Identify where handoffs fail, communication lags, or ownership is unclear, and quantify the operational impact
• Develop a draft Operating Charter outlining roles, responsibilities, decision rights, communication rhythms, and shared KPIs