Pain elicits autonomic nervous system responses, which can be measured through skin conductance response (SCR). SCR can be quantified through various approaches, including manual scoring or software-based algorithms (e.g., Ledalab). Approaches have been considered interchangeable despite a lack of empirical evidence to support homogeneity. The current study compared SCR outcomes from Ledalab and manual scoring as they relate to acute pain. Eighty-four participants received thermal stimulation and judged pain intensity while SCR was recorded. We used multilevel models in R to evaluate associations between heat-evoked SCR measures and intensity. All measures were normalized to permit comparisons across methods. We observed significant positive associations (all p's <0.001, B's from 7.41 - 16.13) between pain ratings and SCR as measured by all manual scoring outcomes: maximum amplitudes, mean amplitudes, area under the curve, and number of responses. There were mixed results from Ledalab outcomes, such that latency, average phasic driver activity, amplitude sums, integrated phasic driver activity, number of responses and maximum value of phasic activity were all significantly associated with pain (all p's <0.01, B's from -3.09 - 16.33), whereas tonic activity (B=0.58, p=0.36) was not. Phasic driver activity and integrated phasic driver activity had the strongest associations with subjective pain ratings (B=16.33), but maximum amplitude provided the best fit (AIC= 8485.39, B=16.13). These findings imply that not all SCR measures are homogenous. Accurately quantifying this potential biomarker allows for a better understanding of associations between potential objective and subjective pain measures. ZIA-AT00030, PI: Atlas.