When a new assay disagrees with the predicate, somebody has to figure out why. Is it the test? The specimen? The site? A single keystroke at data entry? Most data people report the discordance and move on. We're looking for the one who treats it as a case to crack. You'll own subject- and sample‐level data across 20–30 concurrent method‐comparison and specimen‐collection studies — and your real job is to make sure the dataset tells the truth. Not the convenient version. Not the version that makes a result look cleaner than it is. What actually happened. You check every cell because the truth lives in the cells, and you chase every anomaly to root cause because looks off is where the work starts. Own the data. Find the true story it's hiding. What this role actually is Investigation — you trace discordant results, outliers, and drift to their source and determine whether you're looking at real signal or a data artifact. Source‐level verification — every critical fiel...