Monoclonal antibodies (mAbs) are an example of therapeutic biomolecules which have been used for treatments of cancer, autoimmune diseases and other ailments. Numerous mAbs are currently being given market approval and the total mAb market value is predicted to increase for the foreseeable future. Traditionally, mAbs are manufactured via secretion from mammalian cell cultures such as Chinese Hamster Ovaries (CHO) or myeloma cell lines e.g. GS-NS0. Technoeconomically successful bioreactor operation is inherently dynamic and must invariably rely on limited state measurement accessibility. In all cases, culture productivity and economic incentive must be ensured simultaneously, thus implying a pressing need for model-based elucidation of optimal operation policies. Dynamic simulation is an established tool in bioprocess systems engineering which can accelerate process intensification and scale-up, for capital and operational cost reduction. The present study extends uncertainty characterization beyond recently used response envelopes by firstly presenting dynamic simulation results for a GS-NS0 culture, and then performing a parametric sensitivity analysis so as to systematically deduce the impact of model parameters on the said key output variables which govern technoeconomic appeal.