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The current study looked at weight stereotype presence and whether certain types of medical professionals held this bias over others. This study also investigated if there was a relation between medical professionals' self-esteem and the presence of the weight stereotype. By having a sample consisting of registered nurses, physician assistants, and medical doctors data was then collected within each group to analyze for any significant differences between the three levels of medical professionals. Eleven participants were guided through participation in the Harvard Implicit Association Test, specifically testing for weight stereotype presence, followed by responses to 50 true/false statements on the Sorensen Self-Esteem Test to measure the self-esteem of each participant. The participants within this study were 11 medical professionals, between the ages of 25 and 59, with 6 women and 5 men. The resulting sample consisted of 6 registered nurses, 3 physician assistants, and 2 medical doctors all currently practicing medicine in the state of Arizona, with the exception of 1 participant who is practicing in Colorado. This study was conducted through Qualtrics, an online database through Arizona State University. Upon completion of the study, 3 different tests were run using the data collected. The first was a between-subjects effect test to determine if there was a difference in stereotype presence among the three levels of medical professionals. The second test was a correlation between stereotype presence and the self-esteem each medical professional displayed. The third was a between-subjects effect test looking at self-esteem differences among the three levels of medical professionals. None of the tests yielded significant results, suggesting that there is no difference in weight stereotype presence or self-esteem among the three groups of medical professionals. The data also suggests that there is no correlation between a medical professionals' self-esteem and weight stereotype presence. Suggestions for future research within this paper have discussed ways to improve the current study in order to create significant results.