The field of soft robotics presents unique challenges in dynamics simulation due to the inherent compliance and continuous deformation of soft materials [1]. This study proposes the application of the concept of operational space models integrated within the Absolute Nodal Coordinate Formulation (ANCF) framework to advance the simulation and control of soft robotic systems. The ANCF, known for its ability to accurately represent large deformations and rotations of highly compliant bodies, is employed here together with a special model reduction method to develop the operational space methodology. This offers a dual advantage: the geometrically exact representation of soft bodies, and the efficient handling of interaction forces through the operational space formulation. We explore the potential of this approach in the simulation of complex interactions between soft robots and their environments, focusing on tasks that demand high precision and adaptability. This approach promises significant improvements in accuracy for soft robotics applications, particularly in contact interaction scenarios. Furthermore, our research can pave the way for more intuitive and effective control strategies in soft robotics, benefiting from the focus of the operational space representation on task-level dynamics. This novel combination of operational space concept and the ANCF could significantly enhance the design, control, and simulation of next-generation soft robotic systems, advancing both theoretical and practical aspects in the field.