Introduction. To effectively plan the work of an organization, it is necessary to keep records and predict the labor costs of employees. In preclinical research centers, it is necessary to take into account that the labor costs associated with the preparation of the studied objects vary greatly. The amount of labor and their nature are directly related to the features of the shape in which the object arrives, as well as to the design of the experiment. Aim. The aim of this article was to classify the objects studied in preclinical studies and create models describing the list of necessary manipulations. Materials and methods. Analysis of the regulatory requirements for conducting preclinical trials was carried out. Based on these requirements, the necessary list of processes was compiled to ensure proper handling of the objects under study. Typification was chosen as the method of standardization of these processes. As a result of standardization, models were proposed that characterize the totality of work with a certain type of objects. For each of the developed models, the labor costs associated with the preparation of objects for the introduction of test systems were estimated. The assessment of labor costs was carried out using the analysis of photographs of the working day, followed by the calculation of timekeeping. Results and discussion. The authors proposed 4 models, for each of which the necessary list of labor actions was characterized. The following are the results of the analysis of labor costs by type of labor actions for each of the models. Based on the list, a formula is proposed for calculating labor costs for complex preclinical trials designs. Conclusion. Since the diversity of the studied objects and the design of the preclinical trials makes it difficult to plan the labor costs for the preparation of the studied objects, the typification of these processes makes it possible to simplify the task. On the basis of the proposed models, organizations engaged in research and development can choose models suitable for their tasks and, based on labor cost measurements, predict the workload of specialists involved in the preparation of the studied objects.