Healthcare data only becomes AI training data once patient privacy is protected to a standard an independent expert will certify, while keeping the clinical detail that makes it worth training on. Black out too little and patients are exposed. Black out too much and the data loses its value.

No single tool gets this right, because every dataset is different. A radiology report, a handwritten prior-authorization fax and a veterinarian's notes each fail in their own ways. So we've built a practice instead of a product. It combines off-the-shelf tools, custom rules, language models and human review, tunes the mix for each dataset, and proves the result with the kind of statistical validation an auditor would accept. It has cleared every recent independent review with zero failures.

You'll run it. You'll lead engagements from the first look at a new dataset to certified delivery, make the calls on what's safe to ship, and improve the method with every engagement.

Lead data privacy projects from first look to certified delivery: assess the data, write the policy, tune the pipeline, validate, and deliver.

Design and run the experiments that decide which layers a dataset needs, measuring recall, over-redaction and cost for each.

Run validation the way an auditor would: set the pass bar before you look, test on fresh held-out samples, report confidence bounds, and never fix the test set.

Turn every miss into a lasting fix (a rule, a model or prompt change, or a human-review step) and lock it in with a regression test.

Work directly with independent expert determiners: prepare evidence, answer methodology questions, and respond to findings.

Direct human reviewers on the hard cases and adjudicate their disagreements.

Evaluate new tools and models (open-source NER, vendor APIs, models that run inside a partner's own environment) against our benchmarks.

Write down what you learn so the next engagement starts ahead of the last one.

What Success Looks Like

Technical Project Lead, Data Privacy

Responsibilities

Qualification

Required

Preferred

Company

Protege

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