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Purpose : This study aimed to identify the latent classes of job satisfaction and predictors for each latent class among young healthcare professionals, thereby provide fundamental information on developing strategies to enhance their job satisfaction. Method: The study used 2021 Youth Panel data. The subjects for this study were 312 individuals currently employed, who indicated their occupation as healthcare professionals based on the job code. As for the data, latent class analysis was performed on work contents, self-development, salary, work environment, and relationships using Mplus 8.5; multinominal logistic regression analysis was conducted to identify the predictors for each latent class of job satisfaction using SPSS 27.0. Results: The latent classes of job satisfaction were classified into three groups: low, moderate, and high levels of job satisfaction. Predictors for the latent classes included career development, adaptive abilities for changes, grade point average, and subjective health status. Conclusion: The results of this study suggest that it should be considered to provide a variety of information on career fields in college curricula to guide students to choose and prepare for their own career paths. Furthermore, a systematic approach is required to improve grade point average, change adaptability, and health status in young adulthood.