We were interested in understanding how a student's social identity and previous experience with coding and omics data might influence their participation and interest in undergraduate research. Our analysis related to the primary cohort indicates that previous experiences and social identities significantly impact student involvement with research. Students with previous computer programming experience were significantly more likely to be involved in research using omics prior to taking the course. While this trend was also affected by students' racial identity, gender, and self-identified socioeconomic status, many of these differences became statistically insignificant by the end of the course.