In order to calculate highly accurate free energy profiles of chemical and biochemical reactions efficient and sufficient sampling of the PES is required. EVB-FEP/US simulations follow a reaction path in time. The US enables the simulation to overcome high barriers along the reaction path. However, the necessity to perform these calculations sequentially slowdowns these simulations of biochemical reactions. Additionally, a large number of replicas, starting from different starting conformations, as well as ideally forward and backward EVB-FEP/US runs are required to sufficiently sample the PES. The Python pipeline Q-RepEx, presented here, allows for more efficient sampling of (bio)chemical reactions using the Q6 software package . The unconditional replica-exchange mechanism used by Q-RepEx reduces the amount of replicas required. Furthermore, it allows for the EVB simulations of the chemical reactions of interest to be performed in parallel. The interchanging exchange steps lead to a mixing of starting conformations which increases sampling, and thus boosts performance. Therefore, Q-RepEx can be used to extend EVB simulations to larger and more complex systems, the computational cost of which would prohibit such studies using conventional EVB simulations. Finally, while the current implementation of Q-RepEx is interfaced with Q6, the flowchart shown in Figure can easily be extended to other computational toolkits with minimal modifications.