More time is spent on manual labor than on all the intellectual aspects of science combined. Instead of high value hypothesis generation, experimental design, and data analysis, precious time is devoted to:
Procuring supplies and instrument access
Preparing standard solutions, buffers, and other required material
Receiving and preparing samples
Coordinating with other experimentalists
Cleaning, disassembling, and otherwise restoring equipment
Mastering new experimental techniques and unfamiliar instrumentation
Debugging faulty equipment
Aggregating, cleaning, and preparing data for analysis
Innovative ideas often require a great deal of labor to execute, favoring well-funded teams over those with the most ambition
The physical effort involved in lab work creates a barrier to scientific exploration because it is incredibly labor-intensive to pursue new research initiatives
Training or capital investments often present too large of a barrier to incorporating new workflows