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Technical Project Lead, Data Privacy
New York City, NY · Full-time · Posted Oct 26, 2026
- Experience
- Minimum 2 years in data science, applied statistics, ML engineering, or quantitative research.
- Visa sponsorship
- Authorization to work in the U.S. as a W2 employee is required.
About the job
Leads healthcare data privacy engagements, designing and validating workflows that de-identify data for AI training while preserving clinical value, and delivering evidence for independent certification.
What you'll do
- Lead privacy projects from data assessment and policy through pipeline tuning, validation, and delivery.
- Design experiments and auditor-style validation; turn issues into lasting process or model fixes with regression tests.
- Coordinate reviewers and independent expert determiners, and evaluate tools and models against benchmarks.
What they ask for
- At least 2 years in data science, applied statistics, ML engineering, or quantitative research working with real, messy data.
- Solid statistics, including sampling, confidence intervals, measurement design, and inter-rater agreement.
- Strong background and experience using language models or AI coding tools.
- Authorization to work in the U.S. as a W2 employee.
Nice to have
- HIPAA de-identification or other privacy or healthcare data experience.
- NER, OCR, clinical NLP, document processing, external review, or annotation project experience.
Tools
language models, AI coding tools, open-source NER, vendor APIs
AI focus
Uses language models and other AI tools and models to de-identify healthcare data for AI training; evaluates candidate models and tunes privacy pipelines.
Model-written summary · the original posting is authoritative