Sustainable and innovative biotechnological processes provide central approaches for solving major societal challenges such as climate change, the energy crisis and increasing supply demands. In the course of the transformation from a petroleum-based to a bio-based economy (bioeconomy), bioprocess engineering is a key technology that makes it possible to transfer biotechnological processes from the laboratory scale to the industrial scale (scaling). For traditional chemical processes, scaling is achieved by transferring important process parameters to larger scales. Bioprocess engineering has its origins in the chemical-technical industry. However, bioprocesses follow the complex physiology of cells, which is characterized by gene regulation and biochemical interactions. Nevertheless, the scaling of bioprocesses is still mostly based on scaling strategies from chemistry. The following question remains unanswered: How can bioprocesses be scaled precisely? My aim is to develop and scale bioprocesses using an innovative biotechnological data-driven concept. In pioneering work, the complex interaction between the reactor conditions and the response of the cell (gene regulation) is to be investigated by systematically recording transcriptome data from bioprocesses while varying the scaling criteria. BIOSCALE combines bioprocess engineering - molecular biotechnology - data science in a triad and aims at the biologically-driven scaling of bioprocesses (BIOSCALE) by selecting suitable scaling criteria. This paradigm shift has the potential to scale bioprocesses in a more targeted and systematic way in order to achieve shorter development times, higher success rates and higher process qualities. The envisaged BIOSCALE concept is universally transferable and can be transferred to other biotechnological processes.