Current challenges in life sciences laboratories

R&D laboratories in the life sciences sector are under increasing pressure to generate scientific insights more quickly and efficiently. However, many laboratories are unprepared, both technologically and organizationally. One of the central hurdles is technological fragmentation, characterized by heterogeneous system landscapes, a lack of interfaces, and isolated applications, which hinder seamless processes and prevent consistent data flows.

The increasing pressure for efficiency and cost forces companies to critically question existing and planned investments. At the same time, there is often a lack of an overarching transformation strategy that provides clear guidelines for tool selection, target architectures, and roadmaps. This strategic gap is further exacerbated by uncertainties in dealing with regulatory requirements – especially under frameworks such as GxP and FDA 21 CFR Part 11 – which complicates the introduction of digital solutions and increases documentation and audit efforts.

Compounding the problem are competence and resource deficits: scientists are heavily burdened, responsibilities for digital projects are often unclear, and methodological support is lacking, resulting in persistent data silos, untapped automation potential, and inhibited innovation in everyday laboratory work.

Future-proofing your lab with BearingPoint

BearingPoint accompanies you on the path to the digital laboratory – from analysis to implementation. Our structured transformation approach is based on various modules:

Our focus is on a modular, tailored approach – depending on the laboratory type, location structure, and degree of transformation.

Our services

  • Analysis of the digital maturity of your laboratory landscape (processes, tools, data, organization)
  • Development of an individual digital lab strategy, including vision according to AI readiness and FAIR principles, use cases, target architecture, and governance model
  • Creation of a modular transformation roadmap with clear prioritization
  • Support in change management, user training, and sustainable competence building
  • Design of integration architectures for seamless data flows and automation
  • Selection and introduction of digital laboratory systems (e.g., LIMS, ELN, lab inventory, device integration)
  • Implementation of validated laboratory processes according to GxP/CSV, including documentation and audit preparation
  • Rollout support and monitoring of the transformation – scalable locally and globally
  • Continuous development for regular evaluation of system usage, user feedback, and technological developments

Benefits

  • More freedom for science: Reduction of manual processes, more time for research
  • Better compliance: Fulfillment of regulatory requirements through digital traceability
  • Faster decisions: Real-time data and automation create transparency and responsiveness
  • Higher data quality: Avoidance of silos, duplicates, and media breaks
  • Strengthening competitiveness through digitally networked, future-proof laboratory processes
  • Increase in employee retention and satisfaction through modern, intuitive work environments
  • Flexible growth: Modular systems and roadmaps enable scalable development

 

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Life Sciences