<p>The growing popularity of social media has made it possible for health professionals to use these platforms for discussions related to professional development. However, despite social media platforms becoming an increasingly important space, there is limited research examining the nature and patterns of interactions on these platforms. This study provides an exploratory, descriptive baseline analysis of engagement patterns surrounding professional development content on Instagram, with particular attention to posts touching on impostor syndrome and professional confidence themes. The analysis draws on 18,219 Instagram posts published by a single data science education account; importantly, the dataset does not consist of content authored by healthcare professionals, a feature that bounds the scope and applicability of the findings. A quantitative, descriptive content-analytic approach was used to compare engagement metrics across keyword-defined content categories, and the relative distribution of discovery mechanisms such as hashtag-based and algorithmic recommendation was also examined. Descriptively, posts categorized as addressing impostor syndrome and professional concerns showed somewhat higher average engagement than general professional development content; however, because these categories contain very few posts and no inferential statistical tests were applied, these differences are preliminary and should not be interpreted as statistically significant. Content categorized as health-related was associated with a higher share of impressions from hashtag-based discovery. Because engagement metrics are shaped by numerous confounding factors including posting time, follower growth, caption and visual design, and algorithmic exposure these patterns are interpreted descriptively rather than causally. These patterns tentatively suggest that social media may serve as a space for expressing professional challenges that are difficult to articulate in the workplace, although confirming this would require data generated by healthcare professionals themselves. Accordingly, implications for healthcare and educational institutions are offered cautiously and chiefly as directions for future inquiry. Rather than describing the digital behavior of healthcare professionals, this study establishes a methodological and empirical baseline that future research using datasets authored by healthcare professionals can build upon.</p>