Nociceptors are a subset of sensory neurons that relay painful stimuli from the peripheral tissues. Multiple nociceptor subtypes exist and can respond to different thermal, mechanical, or chemical noxious stimuli. Recent findings with transcriptomics have identified gene expression patterns that classify these sub-types by different ion channels including NaV1.7, NaV1.8, NaV1.9, TRPV1, TRPA1, P2X3, HCN and a number of others that have been implicated in pain. In this study, we have identified a method to rapidly generate a novel TRPA1+ human induced pluripotent stem cell (hiPSC)-derived sensory neuron population and thoroughly characterized it molecularly and functionally. Neurons were matured through four weeks and samples were processed on a weekly basis for bulk RNA sequencing and RNAscope. We found that this population was more similar to primary human DRG than other hiPSC-derived sensory neurons with RNA data sets publicly available, and specifically looked at differences in expression of ion channels, GPCRs, neuropeptides, and cell adhesion molecules. We also quantified this population via RNAscope and found 70% of the neurons express TRPA1+. Using high throughput automated patch clamp electrophysiology, we also explored properties of: voltage-gated sodium and potassium ion channels; TRP, GABA, and P2X ligand-gated ion channels; hyperpolarization-activated, cyclic nucleotide-gated channels; and mechanosensitive Piezo channels. Excitability properties in current clamp mode including resting membrane potential, spontaneous and evoked action potentials were also studied. These results were compared to a different hiPSC-derived sensory neuron population to determine the optimal sub-type and for target discovery and validation in high-throughput pain drug discovery screens.